From 99b0677a51fe5672fdacb690abfcddc5282a556e Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Wed, 18 Sep 2024 10:46:05 -0700 Subject: [PATCH 01/12] Fix bug where prompt is modified by OpenAIEntityExtractor. --- apps/query-ui/poetry.lock | 83 ++++++++++++++++++- .../sycamore/transforms/extract_entity.py | 10 +-- 2 files changed, 85 insertions(+), 8 deletions(-) diff --git a/apps/query-ui/poetry.lock b/apps/query-ui/poetry.lock index 2ae3f0c78..5ce4f34e5 100644 --- a/apps/query-ui/poetry.lock +++ b/apps/query-ui/poetry.lock @@ -1265,6 +1265,28 @@ files = [ docs = ["ipython", "matplotlib", "numpydoc", "sphinx"] tests = ["pytest", "pytest-cov", "pytest-xdist"] +[[package]] +name = "dateparser" +version = "1.2.0" +description = "Date parsing library designed to parse dates from HTML pages" +optional = false +python-versions = ">=3.7" +files = [ + {file = "dateparser-1.2.0-py2.py3-none-any.whl", hash = "sha256:0b21ad96534e562920a0083e97fd45fa959882d4162acc358705144520a35830"}, + {file = "dateparser-1.2.0.tar.gz", hash = "sha256:7975b43a4222283e0ae15be7b4999d08c9a70e2d378ac87385b1ccf2cffbbb30"}, +] + +[package.dependencies] +python-dateutil = "*" +pytz = "*" +regex = "<2019.02.19 || >2019.02.19,<2021.8.27 || >2021.8.27" +tzlocal = "*" + +[package.extras] +calendars = ["convertdate", "hijri-converter"] +fasttext = ["fasttext"] +langdetect = ["langdetect"] + [[package]] name = "decorator" version = "5.1.1" @@ -1400,6 +1422,16 @@ files = [ {file = "editdistance-0.8.1.tar.gz", hash = "sha256:d1cdf80a5d5014b0c9126a69a42ce55a457b457f6986ff69ca98e4fe4d2d8fed"}, ] +[[package]] +name = "events" +version = "0.5" +description = "Bringing the elegance of C# EventHandler to Python" +optional = false +python-versions = "*" +files = [ + {file = "Events-0.5-py3-none-any.whl", hash = "sha256:a7286af378ba3e46640ac9825156c93bdba7502174dd696090fdfcd4d80a1abd"}, +] + [[package]] name = "exceptiongroup" version = "1.2.2" @@ -3245,6 +3277,34 @@ files = [ {file = "opencensus_context-0.1.3-py2.py3-none-any.whl", hash = "sha256:073bb0590007af276853009fac7e4bab1d523c3f03baf4cb4511ca38967c6039"}, ] +[[package]] +name = "opensearch-py" +version = "2.6.0" +description = "Python client for OpenSearch" +optional = false +python-versions = "<4,>=3.8" +files = [ + {file = "opensearch_py-2.6.0-py2.py3-none-any.whl", hash = "sha256:b6e78b685dd4e9c016d7a4299cf1de69e299c88322e3f81c716e6e23fe5683c1"}, + {file = "opensearch_py-2.6.0.tar.gz", hash = "sha256:0b7c27e8ed84c03c99558406927b6161f186a72502ca6d0325413d8e5523ba96"}, +] + +[package.dependencies] +certifi = ">=2022.12.07" +Events = "*" +python-dateutil = "*" +requests = ">=2.4.0,<3.0.0" +six = "*" +urllib3 = [ + {version = ">=1.26.18,<1.27", markers = "python_version < \"3.10\""}, + {version = ">=1.26.18,<2.2.0 || >2.2.0,<3", markers = "python_version >= \"3.10\""}, +] + +[package.extras] +async = ["aiohttp (>=3.9.4,<4)"] +develop = ["black (>=24.3.0)", "botocore", "coverage (<8.0.0)", "jinja2", "mock", "myst-parser", "pytest (>=3.0.0)", "pytest-cov", "pytest-mock (<4.0.0)", "pytz", "pyyaml", "requests (>=2.0.0,<3.0.0)", "sphinx", "sphinx-copybutton", "sphinx-rtd-theme"] +docs = ["aiohttp (>=3.9.4,<4)", "myst-parser", "sphinx", "sphinx-copybutton", "sphinx-rtd-theme"] +kerberos = ["requests-kerberos"] + [[package]] name = "ordered-set" version = "4.1.0" @@ -4786,7 +4846,7 @@ typing = ["mypy (>=1.4)", "rich", "twisted"] [[package]] name = "sycamore-ai" -version = "0.1.19" +version = "0.1.21" description = "Sycamore is an LLM-powered semantic data preparation system for building search applications." optional = false python-versions = ">=3.9,<3.12" @@ -4800,6 +4860,7 @@ async-timeout = ">4.0.0" beautifulsoup4 = "^4.12.2" boto3 = "^1.28.70" boto3-stubs = {version = "^1.35.12", extras = ["essential"]} +dateparser = "^1.2.0" diskcache = "^5.6.3" fasteners = "^0.19" fsspec = "2024.2.0" @@ -4807,6 +4868,7 @@ guidance = "0.1.14" jinja2 = "^3.1" numpy = "<2.0.0" openai = "^1.40.2" +opensearch-py = {version = "^2.3.1", optional = true} overrides = "^7.7.0" pandas = "^2.1.1" pdf2image = "^1.16.3" @@ -5184,6 +5246,23 @@ files = [ {file = "tzdata-2024.1.tar.gz", hash = "sha256:2674120f8d891909751c38abcdfd386ac0a5a1127954fbc332af6b5ceae07efd"}, ] +[[package]] +name = "tzlocal" +version = "5.2" +description = "tzinfo object for the local timezone" +optional = false +python-versions = ">=3.8" +files = [ + {file = "tzlocal-5.2-py3-none-any.whl", hash = "sha256:49816ef2fe65ea8ac19d19aa7a1ae0551c834303d5014c6d5a62e4cbda8047b8"}, + {file = "tzlocal-5.2.tar.gz", hash = "sha256:8d399205578f1a9342816409cc1e46a93ebd5755e39ea2d85334bea911bf0e6e"}, +] + +[package.dependencies] +tzdata = {version = "*", markers = "platform_system == \"Windows\""} + +[package.extras] +devenv = ["check-manifest", "pytest (>=4.3)", "pytest-cov", "pytest-mock (>=3.3)", "zest.releaser"] + [[package]] name = "uc-micro-py" version = "1.0.3" @@ -5600,4 +5679,4 @@ testing = ["coverage (>=5.0.3)", "zope.event", "zope.testing"] [metadata] lock-version = "2.0" python-versions = ">=3.9,<3.9.7 || >3.9.7,<3.12" -content-hash = "965d53a72d0ffa5c61d01000a5b4cc1ff370c104dd4de52d33f1df4656db751d" +content-hash = "ef19a6b7784b03693e06991eae0440ee5096c986ac5ae66baf0dfe35085935e3" diff --git a/lib/sycamore/sycamore/transforms/extract_entity.py b/lib/sycamore/sycamore/transforms/extract_entity.py index 850bfc693..d5402ad67 100644 --- a/lib/sycamore/sycamore/transforms/extract_entity.py +++ b/lib/sycamore/sycamore/transforms/extract_entity.py @@ -138,13 +138,11 @@ def _handle_document_field_prompting(self, document: Document) -> Any: value = str(document.field_to_value(self._field)) if isinstance(self._prompt, str): - self._prompt += value - response = self._llm.generate(prompt_kwargs={"prompt": self._prompt}, llm_kwargs={}) + prompt = self._prompt + value + response = self._llm.generate(prompt_kwargs={"prompt": prompt}, llm_kwargs={}) else: - if self._prompt is None: - self._prompt = [] - self._prompt.append({"role": "user", "content": value}) - response = self._llm.generate(prompt_kwargs={"messages": self._prompt}, llm_kwargs={}) + messages = (self._prompt or []) + [{"role": "user", "content": value}] + response = self._llm.generate(prompt_kwargs={"messages": messages}, llm_kwargs={}) return response From d1dae76fd0c8f661e9624dac8e37e24641f9bde2 Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Wed, 18 Sep 2024 14:45:03 -0700 Subject: [PATCH 02/12] Working on this. --- apps/query-demo/querydemo/Query_Demo.py | 49 ++++++++--- apps/query-demo/querydemo/util.py | 106 +++++++++++++++++------- apps/query-ui/queryui/util.py | 4 +- 3 files changed, 116 insertions(+), 43 deletions(-) diff --git a/apps/query-demo/querydemo/Query_Demo.py b/apps/query-demo/querydemo/Query_Demo.py index 8555f0b9c..0e05e769a 100644 --- a/apps/query-demo/querydemo/Query_Demo.py +++ b/apps/query-demo/querydemo/Query_Demo.py @@ -19,7 +19,7 @@ from sycamore.data import OpenSearchQuery from sycamore.transforms.query import OpenSearchQueryExecutor from sycamore.query.client import SycamoreQueryClient -from util import generate_plan, run_plan, ray_init +from util import generate_plan, run_plan, ray_init, show_query_traces NUM_DOCS_GENERATE = 60 NUM_DOCS_PREVIEW = 10 @@ -252,10 +252,22 @@ def render_link(self, element: marko.inline.Link) -> str: class ChatMessageExtra: - def __init__(self, name: str, content: Any): + def __init__(self, name: str, content: Optional[Any] = None): self.name = name self.content = content + def show(self): + st.write(self.content) + + +class ChatMessageTraces(ChatMessageExtra): + def __init__(self, name: str, query_id: str): + super().__init__(name) + self.query_id = query_id + + def show(self): + show_query_traces(st.session_state.trace_dir, self.query_id) + class ChatMessage: def __init__(self, message: Optional[Dict[str, Any]] = None, extras: Optional[List[ChatMessageExtra]] = None): @@ -274,7 +286,7 @@ def show(self): def show_content(self): for extra in self.extras: with st.expander(extra.name): - st.write(extra.content) + extra.show() if self.message.get("content"): content = self.message.get("content") self.render_markdown_with_jsx(content) @@ -473,14 +485,18 @@ def do_rag_query(query: str, index: str) -> str: return rag_result -def query_data_source(query: str, index: str) -> Tuple[Any, Any]: - """Run a Sycamore or RAG query.""" +def query_data_source(query: str, index: str) -> Tuple[Any, Optional[Any], Optional[str]]: + """Run a Sycamore or RAG query. + + Returns a tuple of (query_result, query_plan, query_id). + """ if st.session_state.rag_only: - return do_rag_query(query, index), None + return do_rag_query(query, index), None, None else: sqclient = SycamoreQueryClient( s3_cache_path=st.session_state.s3_cache_path if st.session_state.use_cache else None, + trace_dir=st.session_state.trace_dir, ) with st.spinner("Generating plan..."): plan = generate_plan(sqclient, query, index) @@ -489,8 +505,8 @@ def query_data_source(query: str, index: str) -> Tuple[Any, Any]: with st.expander("Query plan"): st.write(plan) with st.spinner("Running Sycamore query..."): - st.session_state.query_id, result = run_plan(sqclient, plan) - return result, plan + query_id, result = run_plan(sqclient, plan) + return result, plan, query_id def docset_to_string(docset: sycamore.docset.DocSet) -> str: @@ -558,12 +574,14 @@ def do_query(): tool_call_id = tool_calls[0].id tool_function_name = tool_calls[0].function.name tool_response_str = "" + query_plan = None + query_id = None # Try to catch any errors that might corrupt the message history here. try: tool_args = json.loads(tool_calls[0].function.arguments) if tool_function_name == "queryDataSource": tool_query = tool_args["query"] - tool_response, query_plan = query_data_source(tool_query, OPENSEARCH_INDEX) + tool_response, query_plan, query_id = query_data_source(tool_query, OPENSEARCH_INDEX) else: tool_response = f"Unknown tool: {tool_function_name}" @@ -584,8 +602,6 @@ def do_query(): st.error(f"Error running Sycamore query: {e}") tool_response_str = f"There was an error running your query: {e}" finally: - with st.expander("Tool response"): - st.write(f"```{tool_response_str}```") tool_response_message = ChatMessage( { "role": "tool", @@ -595,15 +611,21 @@ def do_query(): } ) st.session_state.messages.append(tool_response_message) + with st.expander("Tool response"): + st.write(f"```{tool_response_str}```") else: # No function call was made. assistant_message.show_content() - # Stash away the query plan in the message in case we want to show it later. if query_plan: assistant_message.extras.append(ChatMessageExtra("Query plan", query_plan)) if tool_response_str: assistant_message.extras.append(ChatMessageExtra("Tool response", f"```{tool_response_str}```")) + if query_id: + cmt = ChatMessageTraces("Query trace", query_id) + with st.expander("Query trace"): + cmt.show() + assistant_message.extras.append(cmt) break @@ -629,6 +651,9 @@ def main(): if "messages" not in st.session_state: st.session_state.messages = [ChatMessage({"role": "assistant", "content": WELCOME_MESSAGE})] + if "trace_dir" not in st.session_state: + st.session_state.trace_dir = os.path.join(os.getcwd(), "traces") + st.title("Sycamore NTSB Query Demo") st.toggle("Use RAG only", key="rag_only") show_messages() diff --git a/apps/query-demo/querydemo/util.py b/apps/query-demo/querydemo/util.py index 79bc2fe75..013bb7317 100644 --- a/apps/query-demo/querydemo/util.py +++ b/apps/query-demo/querydemo/util.py @@ -4,7 +4,7 @@ import pickle import zipfile import pandas as pd -from typing import Any, Dict, Set, Tuple +from typing import Any, Dict, List, Set, Tuple import ray import streamlit as st @@ -80,13 +80,15 @@ def show_dag(plan: LogicalPlan): agraph(nodes=nodes, edges=edges, config=config) -@st.experimental_fragment -def show_query_traces(trace_dir: str, query_id: str): - """Show the query traces in the given trace_dir.""" - trace_dir = os.path.join(trace_dir, query_id) - for node_id in sorted(os.listdir(trace_dir)): - data_list = [] - directory = os.path.join(trace_dir, node_id) +class QueryNodeTrace: + def __init__(self, trace_dir: str, node_id: str): + self.trace_dir = trace_dir + self.node_id = node_id + self.docs: List[Dict[str, Any]] = [] + self.readdata() + + def readdata(self): + directory = os.path.join(self.trace_dir, self.node_id) for filename in os.listdir(directory): f = os.path.join(directory, filename) if os.path.isfile(f): @@ -94,12 +96,12 @@ def show_query_traces(trace_dir: str, query_id: str): try: doc = pickle.load(file) except EOFError: - doc = [] - + continue # For now, skip over MetadataDocuments. - if "doc_id" not in doc: + if "metadata" in doc.keys(): continue + # Flatten properties. if "properties" in doc: for property in doc["properties"]: if isinstance(doc["properties"][property], dict): @@ -110,21 +112,67 @@ def show_query_traces(trace_dir: str, query_id: str): else: doc[".".join(["properties", property])] = doc["properties"][property] doc.pop("properties") - data_list.append(doc) - - df = pd.DataFrame(data_list) - st.write(f"Docset after node {node_id} — {len(df)} documents") - st.dataframe(df) - - zip_buffer = io.BytesIO() - with zipfile.ZipFile(zip_buffer, "w", zipfile.ZIP_DEFLATED) as zf: - for root, _, files in os.walk(trace_dir): - for filename in files: - file_path = os.path.join(root, filename) - zf.write(file_path, os.path.relpath(file_path, trace_dir)) - st.download_button( - label="Download Traces as ZIP", - data=zip_buffer.getvalue(), - file_name=f"traces_{query_id}.zip", - mime="application/zip", - ) + + self.docs.append(doc) + + # Group by the parent ID. + self.parent_docs = [x for x in self.docs if x.get("parent_id") is None] + print(self.parent_docs) + for doc in self.parent_docs: + doc["children"] = [x for x in self.docs if x.get("parent_id") == doc.get("doc_id")] + + def show(self): + if not self.parent_docs: + st.write(f"Result of node {self.node_id} — **no** documents") + st.write("No data.") + return + st.write(f"Result of node {self.node_id} — **{len(self.parent_docs)}** documents") + DEFAULT_COLUMNS = [ + "properties.path", + "properties.entity.accidentNumber", + "properties.entity.dateAndTime", + "properties.entity.location", + "properties.entity.aircraft", + "properties.entity.registration", + "properties.entity.injuries", + "properties.entity.aircraftDamage", + ] + all_columns = self.parent_docs[0].keys() + columns = DEFAULT_COLUMNS + [x for x in all_columns if x not in DEFAULT_COLUMNS] + + # Transpose data to a dict where each key is a column, and each value is a list of rows. + data = {col: [] for col in columns} + for row in self.parent_docs: + for col in columns: + data[col].append(row.get(col)) + + df = pd.DataFrame(data) + st.dataframe( + df, + column_order=columns, + column_config={ + "properties.path": st.column_config.LinkColumn( + "Document link", + validate=r"^[a-z]+://[a-z\.\/]+$", + max_chars=100, + # display_text=r"https://(.*?)\.streamlit\.app" + ) + }, + ) + + +class QueryTrace: + def __init__(self, trace_dir: str): + self.trace_dir = trace_dir + self.node_traces = [QueryNodeTrace(trace_dir, node_id) for node_id in sorted(os.listdir(self.trace_dir))] + + def show(self): + for node_trace in self.node_traces: + node_trace.show() + + +@st.fragment +def show_query_traces(trace_dir: str, query_id: str): + """Show the query traces in the given trace_dir.""" + trace_dir = os.path.join(trace_dir, query_id) + QueryTrace(trace_dir).show() diff --git a/apps/query-ui/queryui/util.py b/apps/query-ui/queryui/util.py index dadf9ae60..9e2e7edad 100644 --- a/apps/query-ui/queryui/util.py +++ b/apps/query-ui/queryui/util.py @@ -134,10 +134,10 @@ def show_query_traces(trace_dir: str, query_id: str): try: doc = pickle.load(file) except EOFError: - doc = [] + continue # For now, skip over MetadataDocuments. - if "doc_id" not in doc: + if "metadata" in doc.keys(): continue if "properties" in doc: From c91df1461b8779d6e1dc4dc8b15d884e1b80c300 Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Thu, 19 Sep 2024 10:13:41 -0700 Subject: [PATCH 03/12] Linting. --- apps/query-demo/querydemo/Query_Demo.py | 125 ++++++++++++------------ apps/query-demo/querydemo/util.py | 65 ++++++++---- 2 files changed, 112 insertions(+), 78 deletions(-) diff --git a/apps/query-demo/querydemo/Query_Demo.py b/apps/query-demo/querydemo/Query_Demo.py index 0e05e769a..8e1cb81ac 100644 --- a/apps/query-demo/querydemo/Query_Demo.py +++ b/apps/query-demo/querydemo/Query_Demo.py @@ -1,4 +1,3 @@ -import base64 import datetime from html.parser import HTMLParser import json @@ -8,7 +7,6 @@ import pandas as pd -import boto3 import marko from marko.md_renderer import MarkdownRenderer import requests @@ -19,7 +17,7 @@ from sycamore.data import OpenSearchQuery from sycamore.transforms.query import OpenSearchQueryExecutor from sycamore.query.client import SycamoreQueryClient -from util import generate_plan, run_plan, ray_init, show_query_traces +from util import generate_plan, run_plan, show_query_traces, show_pdf_preview NUM_DOCS_GENERATE = 60 NUM_DOCS_PREVIEW = 10 @@ -56,7 +54,6 @@ {"".join([f"" for query in EXAMPLE_QUERIES])} """ - SYSTEM_PROMPT = """You are a helpful agent that answers questions about NTSB (National Transportation Safety Board) incidents. You have access to a database of incident reports, each of which has an associated PDF document, as well as metadata about the incident @@ -148,6 +145,7 @@ def __init__(self, chat_message: "ChatMessage"): self.chat_message = chat_message self.in_table = False self.in_header = False + self.in_header_cell = False self.in_row = False self.in_cell = False self.table_data: List[List[Any]] = [] @@ -166,8 +164,11 @@ def handle_starttag(self, tag, attrs): elif tag == "tablerow" and self.in_table: self.in_row = True self.row_data = [] - elif tag == "tablecell" and self.in_row: - self.in_cell = True + elif tag == "tablecell": + if self.in_header: + self.in_header_cell = True + elif self.in_row: + self.in_cell = True elif tag == "map": self.in_map = True self.map_data = [] @@ -177,17 +178,19 @@ def handle_starttag(self, tag, attrs): self.map_data.append((lat, lon)) def handle_endtag(self, tag): - if tag == "tablecell" and self.in_cell: - self.in_cell = False + if tag == "tablecell": + if self.in_header_cell: + self.in_header_cell = False + elif self.in_cell: + self.in_cell = False elif tag == "tableheader" and self.in_header: self.in_header = False - self.table_data.append(self.header_data) elif tag == "tablerow" and self.in_row: self.in_row = False self.table_data.append(self.row_data) elif tag == "table" and self.in_table: self.in_table = False - self.chat_message.render_table(self.table_data) + self.chat_message.render_table(self.header_data, self.table_data) elif tag == "map" and self.in_map: self.in_map = False self.chat_message.render_map(self.map_data) @@ -214,7 +217,7 @@ def handle_data(self, data): data = data.strip() if not data: return - if self.in_header: + if self.in_header_cell: self.header_data.append(data) elif self.in_cell: self.row_data.append(data) @@ -270,12 +273,18 @@ def show(self): class ChatMessage: - def __init__(self, message: Optional[Dict[str, Any]] = None, extras: Optional[List[ChatMessageExtra]] = None): + def __init__( + self, + message: Optional[Dict[str, Any]] = None, + before_extras: Optional[List[ChatMessageExtra]] = None, + after_extras: Optional[List[ChatMessageExtra]] = None, + ): self.message_id = st.session_state.next_message_id st.session_state.next_message_id += 1 self.timestamp = datetime.datetime.now() self.message = message or {} - self.extras = extras or [] + self.before_extras = before_extras or [] + self.after_extras = after_extras or [] self.widget_key = 0 def show(self): @@ -284,12 +293,15 @@ def show(self): self.show_content() def show_content(self): - for extra in self.extras: + for extra in self.before_extras: with st.expander(extra.name): extra.show() if self.message.get("content"): content = self.message.get("content") self.render_markdown_with_jsx(content) + for extra in self.after_extras: + with st.expander(extra.name): + extra.show() def button(self, label: str, **kwargs): return st.button(label, key=self.next_key(), **kwargs) @@ -303,18 +315,40 @@ def next_key(self) -> str: return key def render_markdown_with_jsx(self, text: str): - print(text) + print(f"Rendering MDX:\n{text}\n") mdxparser = MDXParser(self) mdxparser.feed(text) def render_markdown(self, text: str): st.markdown(text) - def render_table(self, data: List[Dict[str, Any]]): - st.dataframe(data) + def render_table(self, columns: List[str], rows: List[List[str]]): + if not rows: + return + num_cols = max([len(row) for row in rows]) + if not columns: + columns = [f"Column {i}" for i in range(1, num_cols + 1)] + if len(columns) < num_cols: + columns += [f"Column {i}" for i in range(len(columns) + 1, num_cols + 1)] + if len(columns) > num_cols: + columns = columns[:num_cols] + + data: Dict[str, List[Any]] = {col: [] for col in columns} + for row in rows: + for index, col in enumerate(columns): + data[col].append(row[index]) + + df = pd.DataFrame(data) + st.dataframe(df) def render_preview(self, path: str): - Preview(path, self).show() + with st.container(border=True): + col1, col2 = st.columns([0.75, 0.25]) + with col1: + st.text("📄 " + path) + with col2: + if st.button("View document", key=self.next_key()): + show_pdf_preview(path) def render_suggested_query(self, query: str): if self.button(query): @@ -322,7 +356,7 @@ def render_suggested_query(self, query: str): def render_map(self, data: List[Tuple[float, float]]): df = pd.DataFrame(data, columns=["lat", "lon"]) - st.map(df) + st.map(df, color="#00ff00", size=100) def to_dict(self) -> Optional[Dict[str, Any]]: return self.message @@ -378,43 +412,6 @@ def __str__(self): ] -def parse_s3_path(s3_path: str) -> Tuple[str, str]: - """Parse an S3 path into a bucket and key.""" - s3_path = s3_path.replace("s3://", "") - bucket, key = s3_path.split("/", 1) - return bucket, key - - -class Preview: - def __init__(self, path: str, chat_message: ChatMessage): - self.path = path - self.chat_message = chat_message - - def show(self): - if self.path.startswith("s3://"): - bucket, key = parse_s3_path(self.path) - s3 = boto3.client("s3") - response = s3.get_object(Bucket=bucket, Key=key) - content = response["Body"].read() - elif self.path.startswith("http"): - content = requests.get(self.path, timeout=30).content - else: - st.write(f"Unknown path format: {self.path}") - return - - if st.session_state.get("pagenum") is None: - st.session_state.pagenum = 1 - - with st.container(border=True): - st.write(f"`{self.path}`") - encoded = base64.b64encode(content).decode("utf-8") - pdf_display = ( - f'' - ) - st.markdown(pdf_display, unsafe_allow_html=True) - - def get_embedding_model_id() -> str: """Get the embedding model ID from the OpenSearch instance.""" query = { @@ -500,12 +497,15 @@ def query_data_source(query: str, index: str) -> Tuple[Any, Optional[Any], Optio ) with st.spinner("Generating plan..."): plan = generate_plan(sqclient, query, index) + print(f"Generated plan:\n{plan}\n") # No need to show the prompt used in the demo. plan.llm_prompt = None with st.expander("Query plan"): st.write(plan) with st.spinner("Running Sycamore query..."): + print("Running plan...") query_id, result = run_plan(sqclient, plan) + print(f"Ran query ID: {query_id}") return result, plan, query_id @@ -547,12 +547,14 @@ def show_messages(): def do_query(): prompt = st.session_state.user_query st.session_state.user_query = None + print(f"User query: {prompt}") user_message = ChatMessage({"role": "user", "content": prompt}) st.session_state.messages.append(user_message) user_message.show() assistant_message = None query_plan = None + query_id = None tool_response_str = None with st.chat_message("assistant"): # We loop here because tool calls require re-invoking the LLM. @@ -602,6 +604,7 @@ def do_query(): st.error(f"Error running Sycamore query: {e}") tool_response_str = f"There was an error running your query: {e}" finally: + print(f"\nTool response: {tool_response_str}") tool_response_message = ChatMessage( { "role": "tool", @@ -618,20 +621,20 @@ def do_query(): # No function call was made. assistant_message.show_content() if query_plan: - assistant_message.extras.append(ChatMessageExtra("Query plan", query_plan)) + assistant_message.before_extras.append(ChatMessageExtra("Query plan", query_plan)) if tool_response_str: - assistant_message.extras.append(ChatMessageExtra("Tool response", f"```{tool_response_str}```")) + assistant_message.before_extras.append( + ChatMessageExtra("Tool response", f"```{tool_response_str}```") + ) if query_id: cmt = ChatMessageTraces("Query trace", query_id) with st.expander("Query trace"): cmt.show() - assistant_message.extras.append(cmt) + assistant_message.after_extras.append(cmt) break def main(): - ray_init(address="auto") - # Set a default model if "openai_model" not in st.session_state: st.session_state["openai_model"] = "gpt-4o" diff --git a/apps/query-demo/querydemo/util.py b/apps/query-demo/querydemo/util.py index 013bb7317..1d9e57fe1 100644 --- a/apps/query-demo/querydemo/util.py +++ b/apps/query-demo/querydemo/util.py @@ -1,12 +1,13 @@ -import io +import base64 import logging import os import pickle -import zipfile import pandas as pd from typing import Any, Dict, List, Set, Tuple +import boto3 import ray +import requests import streamlit as st from streamlit_agraph import agraph, Node, Edge, Config @@ -45,6 +46,45 @@ def get_opensearch_indices() -> Set[str]: return {x for x in SycamoreQueryClient().get_opensearch_incides() if not x.startswith(".")} +def parse_s3_path(s3_path: str) -> Tuple[str, str]: + """Parse an S3 path into a bucket and key.""" + s3_path = s3_path.replace("s3://", "") + bucket, key = s3_path.split("/", 1) + return bucket, key + + +class PDFPreview: + """Display a preview of the given PDF file.""" + + def __init__(self, path: str): + self.path = path + + def show(self): + if self.path.startswith("s3://"): + bucket, key = parse_s3_path(self.path) + s3 = boto3.client("s3") + response = s3.get_object(Bucket=bucket, Key=key) + content = response["Body"].read() + elif self.path.startswith("http"): + content = requests.get(self.path, timeout=30).content + else: + st.write(f"Unknown path format: {self.path}") + return + + st.text(self.path) + encoded = base64.b64encode(content).decode("utf-8") + pdf_display = ( + f'' + ) + st.markdown(pdf_display, unsafe_allow_html=True) + + +@st.dialog("Document preview", width="large") +def show_pdf_preview(path: str): + PDFPreview(path).show() + + def show_dag(plan: LogicalPlan): nodes = [] edges = [] @@ -117,9 +157,11 @@ def readdata(self): # Group by the parent ID. self.parent_docs = [x for x in self.docs if x.get("parent_id") is None] - print(self.parent_docs) - for doc in self.parent_docs: - doc["children"] = [x for x in self.docs if x.get("parent_id") == doc.get("doc_id")] + if self.parent_docs: + for doc in self.parent_docs: + doc["children"] = [x for x in self.docs if x.get("parent_id") == doc.get("doc_id")] + else: + self.parent_docs = self.docs def show(self): if not self.parent_docs: @@ -147,18 +189,7 @@ def show(self): data[col].append(row.get(col)) df = pd.DataFrame(data) - st.dataframe( - df, - column_order=columns, - column_config={ - "properties.path": st.column_config.LinkColumn( - "Document link", - validate=r"^[a-z]+://[a-z\.\/]+$", - max_chars=100, - # display_text=r"https://(.*?)\.streamlit\.app" - ) - }, - ) + st.dataframe(df, column_order=columns) class QueryTrace: From 0d3b659ee25a6dd97dcd6c945323c6860c439838 Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Thu, 19 Sep 2024 14:49:40 -0700 Subject: [PATCH 04/12] Add some additional properties to extract. --- apps/query-demo/querydemo/loaddata.py | 26 +++++++++++++++++++++++++- 1 file changed, 25 insertions(+), 1 deletion(-) diff --git a/apps/query-demo/querydemo/loaddata.py b/apps/query-demo/querydemo/loaddata.py index 099ea1c22..39527de48 100644 --- a/apps/query-demo/querydemo/loaddata.py +++ b/apps/query-demo/querydemo/loaddata.py @@ -7,6 +7,7 @@ import argparse import json +import logging import os import tempfile @@ -24,6 +25,8 @@ from sycamore.transforms.embed import SentenceTransformerEmbedder from opensearchpy import OpenSearch +logging.basicConfig(level=logging.INFO) + def add_schema_property(doc: Document) -> Document: """Add a _schema and _schema_class property to the document with the NTSB data schema.""" @@ -38,12 +41,31 @@ def add_schema_property(doc: Document) -> Document: "registration": {"type": "string"}, "injuries": {"type": "string"}, "aircraftDamage": {"type": "string"}, + "operator": {"type": "string"}, + "conditions": {"type": "string"}, + "lowestCloudCondition": {"type": "string"}, + "lowestCeiling": {"type": "string"}, + "conditionOfLight": {"type": "string"}, + "temperature": {"type": "string"}, + "windSpeed": {"type": "string"}, + "windDirection": {"type": "string"}, + "visibility": {"type": "string"}, + "departureAirport": {"type": "string"}, + "destinationAirport": {"type": "string"}, }, } doc.properties.update({"_schema": schema_json, "_schema_class": "Flight Accident Report"}) return doc +def standardize_location(doc: Document, key_path: list[str]) -> Document: + try: + doc = USStateStandardizer.standardize(doc, key_path=key_path) + except KeyError: + logging.warning(f"Key {key_path} not found in document: {doc}") + return doc + + def main(): argparser = argparse.ArgumentParser(prog="ntsb_loader") argparser.add_argument("--dump", action="store_true", help="Dump contents of existing index and exit") @@ -137,7 +159,9 @@ def main(): ) .extract_properties(property_extractor=OpenAIPropertyExtractor(llm=llm, num_of_elements=35)) .merge(GreedyTextElementMerger(tokenizer, 300)) - .map(lambda doc: USStateStandardizer.standardize(doc, key_path=["properties", "entity", "location"])) + .map(lambda doc: standardize_location(doc, key_path=["properties", "entity", "location"])) + .map(lambda doc: standardize_location(doc, key_path=["properties", "entity", "departureAirport"])) + .map(lambda doc: standardize_location(doc, key_path=["properties", "entity", "destinationAirport"])) .map(lambda doc: DateTimeStandardizer.standardize(doc, key_path=["properties", "entity", "dateAndTime"])) .spread_properties(["entity", "path"]) .explode() From 8f6d3cab69c0859181e9fd42b370d41fea38b935 Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Thu, 19 Sep 2024 17:48:20 -0700 Subject: [PATCH 05/12] Fix query trace viewer. --- apps/query-demo/querydemo/Query_Demo.py | 6 +- apps/query-demo/querydemo/util.py | 146 +++++++++++++++--------- 2 files changed, 97 insertions(+), 55 deletions(-) diff --git a/apps/query-demo/querydemo/Query_Demo.py b/apps/query-demo/querydemo/Query_Demo.py index 56a2ea5bb..46753ec97 100644 --- a/apps/query-demo/querydemo/Query_Demo.py +++ b/apps/query-demo/querydemo/Query_Demo.py @@ -336,7 +336,11 @@ def render_table(self, columns: List[str], rows: List[List[str]]): data: Dict[str, List[Any]] = {col: [] for col in columns} for row in rows: for index, col in enumerate(columns): - data[col].append(row[index]) + try: + data[col].append(row[index]) + except IndexError: + # This can happen if we end up with missing cells in the MDX. + data[col].append(None) df = pd.DataFrame(data) st.dataframe(df) diff --git a/apps/query-demo/querydemo/util.py b/apps/query-demo/querydemo/util.py index 1d9e57fe1..b1bafee60 100644 --- a/apps/query-demo/querydemo/util.py +++ b/apps/query-demo/querydemo/util.py @@ -121,75 +121,113 @@ def show_dag(plan: LogicalPlan): class QueryNodeTrace: + # The order here is chosen to ensure that the most important columns are shown first. + # The logic below ensure that additional columns are also shown, and that empty columns + # are omitted. + COLUMNS = [ + "properties.path", + "properties.entity.accidentNumber", + "properties.key", + "properties.count", + "properties.entity.location", + "properties.entity.dateAndTime", + "properties.entity.aircraft", + "properties.entity.registration", + "properties.entity.injuries", + "properties.entity.aircraftDamage", + "text_representation", + "doc_id", + "parent_id", + ] + def __init__(self, trace_dir: str, node_id: str): self.trace_dir = trace_dir self.node_id = node_id - self.docs: List[Dict[str, Any]] = [] + self.df = None self.readdata() + def readfile(self, f): + with open(f, "rb") as file: + try: + doc = pickle.load(file) + except EOFError: + return None + + # For now, skip over MetadataDocuments. + if "metadata" in doc.keys(): + return None + + # Flatten properties. + if "properties" in doc: + for prop in doc["properties"]: + if isinstance(doc["properties"][prop], dict): + for nested_property in doc["properties"][prop]: + doc[".".join(["properties", prop, nested_property])] = doc["properties"][prop][ + nested_property + ] + else: + doc[".".join(["properties", prop])] = doc["properties"][prop] + doc.pop("properties") + + # Keep only the columns we care about. + # Limit size of each to avoid blowing out memory. + def format_value(value): + MAX_CHARS = 1024 + if isinstance(value, str): + if len(value) > MAX_CHARS: + return value[:MAX_CHARS] + "..." + else: + return value + if isinstance(value, dict): + return format_value(str(value)) + if isinstance(value, list): + return format_value(str(value)) + return value + + row = {k: format_value(doc.get(k)) for k in doc.keys() if k in self.COLUMNS or k.startswith("properties.")} + return row + def readdata(self): directory = os.path.join(self.trace_dir, self.node_id) + docs = [] + + # We need to read all of the individual docs to ensure we get all of the parent + # docs. With a very large number of docs, we are likely to blow out memory doing + # this. Unfortunately there's no easy way to tell up-front that a given stage in + # the pipeline has a mix of parent and child docs, unless we do two passes. + # Just a heads up that with a larger number of docs, we may need to revisit this. for filename in os.listdir(directory): f = os.path.join(directory, filename) if os.path.isfile(f): - with open(f, "rb") as file: - try: - doc = pickle.load(file) - except EOFError: - continue - # For now, skip over MetadataDocuments. - if "metadata" in doc.keys(): - continue - - # Flatten properties. - if "properties" in doc: - for property in doc["properties"]: - if isinstance(doc["properties"][property], dict): - for nested_property in doc["properties"][property]: - doc[".".join(["properties", property, nested_property])] = doc["properties"][ - property - ][nested_property] - else: - doc[".".join(["properties", property])] = doc["properties"][property] - doc.pop("properties") - - self.docs.append(doc) - - # Group by the parent ID. - self.parent_docs = [x for x in self.docs if x.get("parent_id") is None] - if self.parent_docs: - for doc in self.parent_docs: - doc["children"] = [x for x in self.docs if x.get("parent_id") == doc.get("doc_id")] - else: - self.parent_docs = self.docs + newdoc = self.readfile(f) + if newdoc: + docs.append(newdoc) + + # Only keep parent docs if there are child docs in the list. + parent_docs = [x for x in docs if x.get("parent_id") is None] + if parent_docs: + docs = parent_docs + + # Transpose data to a dict where each key is a column, and each value is a list of rows. + if docs: + all_keys = {k for d in docs for k in d.keys()} + data = {col: [] for col in all_keys} + for row in docs: + for col in all_keys: + data[col].append(row.get(col)) + self.df = pd.DataFrame(data) def show(self): - if not self.parent_docs: + all_columns = list(self.df.columns) + column_order = [c for c in self.COLUMNS if c in all_columns] + column_order += [c for c in all_columns if c not in column_order] + + if self.df is None or not len(self.df): st.write(f"Result of node {self.node_id} — **no** documents") st.write("No data.") return - st.write(f"Result of node {self.node_id} — **{len(self.parent_docs)}** documents") - DEFAULT_COLUMNS = [ - "properties.path", - "properties.entity.accidentNumber", - "properties.entity.dateAndTime", - "properties.entity.location", - "properties.entity.aircraft", - "properties.entity.registration", - "properties.entity.injuries", - "properties.entity.aircraftDamage", - ] - all_columns = self.parent_docs[0].keys() - columns = DEFAULT_COLUMNS + [x for x in all_columns if x not in DEFAULT_COLUMNS] - - # Transpose data to a dict where each key is a column, and each value is a list of rows. - data = {col: [] for col in columns} - for row in self.parent_docs: - for col in columns: - data[col].append(row.get(col)) - - df = pd.DataFrame(data) - st.dataframe(df, column_order=columns) + st.write(f"Result of node {self.node_id} — **{len(self.df)}** documents") + st.dataframe(self.df, column_order=column_order) class QueryTrace: From df786d4ec85d14c8f6bfce3481be5a00ba89d1c1 Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Fri, 20 Sep 2024 09:43:44 -0700 Subject: [PATCH 06/12] Fix bug with trace view. --- apps/query-demo/querydemo/util.py | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/apps/query-demo/querydemo/util.py b/apps/query-demo/querydemo/util.py index 7d50f3717..1af4389cd 100644 --- a/apps/query-demo/querydemo/util.py +++ b/apps/query-demo/querydemo/util.py @@ -218,14 +218,14 @@ def readdata(self): self.df = pd.DataFrame(data) def show(self): - all_columns = list(self.df.columns) - column_order = [c for c in self.COLUMNS if c in all_columns] - column_order += [c for c in all_columns if c not in column_order] - if self.df is None or not len(self.df): st.write(f"Result of node {self.node_id} — **no** documents") st.write("No data.") return + + all_columns = list(self.df.columns) + column_order = [c for c in self.COLUMNS if c in all_columns] + column_order += [c for c in all_columns if c not in column_order] st.write(f"Result of node {self.node_id} — **{len(self.df)}** documents") st.dataframe(self.df, column_order=column_order) From 254e305cb6a61d8316c1f59c49f49e32bda378b8 Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Fri, 20 Sep 2024 10:15:43 -0700 Subject: [PATCH 07/12] Add back missing ray_init call. --- apps/query-demo/querydemo/Query_Demo.py | 4 +++- 1 file changed, 3 insertions(+), 1 deletion(-) diff --git a/apps/query-demo/querydemo/Query_Demo.py b/apps/query-demo/querydemo/Query_Demo.py index 46753ec97..15222f4f1 100644 --- a/apps/query-demo/querydemo/Query_Demo.py +++ b/apps/query-demo/querydemo/Query_Demo.py @@ -17,7 +17,7 @@ from sycamore.data import OpenSearchQuery from sycamore.transforms.query import OpenSearchQueryExecutor from sycamore.query.client import SycamoreQueryClient -from util import generate_plan, run_plan, show_query_traces, show_pdf_preview +from util import generate_plan, run_plan, show_query_traces, show_pdf_preview, ray_init NUM_DOCS_GENERATE = 60 NUM_DOCS_PREVIEW = 10 @@ -641,6 +641,8 @@ def do_query(): def main(): + ray_init(address="auto") + # Set a default model if "openai_model" not in st.session_state: st.session_state["openai_model"] = "gpt-4o" From fa2ea960c3542ce104c42acc26de99c415d04291 Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Sat, 21 Sep 2024 16:28:55 -0700 Subject: [PATCH 08/12] Some improvements to query plans for Luna demo. --- apps/query-demo/querydemo/Query_Demo.py | 241 ++++++++- apps/query-demo/querydemo/util.py | 10 +- lib/sycamore/sycamore/docset.py | 4 +- lib/sycamore/sycamore/query/client.py | 8 +- lib/sycamore/sycamore/query/planner.py | 635 ++++++++++++------------ 5 files changed, 567 insertions(+), 331 deletions(-) diff --git a/apps/query-demo/querydemo/Query_Demo.py b/apps/query-demo/querydemo/Query_Demo.py index 15222f4f1..f5b50b4d9 100644 --- a/apps/query-demo/querydemo/Query_Demo.py +++ b/apps/query-demo/querydemo/Query_Demo.py @@ -23,7 +23,6 @@ NUM_DOCS_PREVIEW = 10 NUM_TEXT_CHARS_GENERATE = 2500 -# Set OpenAI API key from Streamlit secrets openai_client = OpenAI(api_key=os.environ["OPENAI_API_KEY"]) OPENSEARCH_INDEX = "const_ntsb" @@ -38,6 +37,7 @@ "ssl_show_warn": False, "timeout": 120, } +S3_CACHE_PATH = "s3://aryn-temp/llm_cache/luna/query-demo" EXAMPLE_QUERIES = [ "How many incidents were there in Washington in 2023?", @@ -46,9 +46,9 @@ "Show the details on accident ERA23LA153", ] -WELCOME_MESSAGE = f"""Welcome to the NTSB incident query demo! You can ask me questions about NTSB -incident reports, and I'll do my best to answer them. Feel free to ask about specific incidents,o -aggregate statistics, or anything else you're curious about. +WELCOME_MESSAGE = f"""Welcome to the NTSB incident query demo! You can ask me questions about +[NTSB incident reports](https://carol.ntsb.gov/), and I'll do my best to answer them. Feel free +to ask about specific incidents,o aggregate statistics, or anything else you're curious about. If you're not sure what to ask, you can try one of the following example queries: {"".join([f"" for query in EXAMPLE_QUERIES])} @@ -137,6 +137,225 @@ ask, based on the response to the user's question. """ +PLANNER_EXAMPLE_SCHEMA = """ +DATA_SCHEMA: { + "text_representation": " (e.g., Can be assumed to have all other details)", + "properties.entity.dateTime": " (e.g., 2023-01-12T11:00:00, 2023-01-11T18:09:00, + 2023-01-10T16:43:00, 2023-01-28T19:02:00, 2023-01-12T13:00:00)", + "properties.entity.dateAndTime": " (e.g., January 28, 2023 19:02:00, January 10, 2023 + 16:43:00, January 11, 2023 18:09:00, January 12, 2023 13:00:00, January 12, 2023 11:00:00)", + "properties.entity.lowestCeiling": " (e.g., Broken 3800 ft AGL, Broken 6500 ft AGL, + Overcast 500 ft AGL, Overcast 1800 ft AGL)", + "properties.entity.aircraftDamage": " (e.g., Substantial, None, Destroyed)", + "properties.entity.conditions": " (e.g., , Instrument (IMC), IMC, VMC, Visual (VMC))", + "properties.entity.departureAirport": " (e.g., Somerville, Tennessee, Colorado Springs, + Colorado (FLY), Yelm; Washington, Winchester, Virginia (OKV), San Diego, California (KMYF))", + "properties.entity.accidentNumber": " (e.g., CEN23FA095, ERA2BLAT1I, WPR23LA088, + ERA23FA108, WPR23LA089)", + "properties.entity.windSpeed": " (e.g., , 10 knots, 7 knots, knots, 19 knots gusting + to 22 knots)", + "properties.entity.day": " (e.g., 2023-01-12, 2023-01-10, 2023-01-20, 2023-01-11, + 2023-01-28)", + "properties.entity.destinationAirport": " (e.g., Somerville, Tennessee, Yelm; + Washington, Agua Caliente Springs, California, Liberal, Kansas (LBL), Alabaster, Alabama (EET))", + "properties.entity.location": " (e.g., Hooker, Oklahoma, Somerville, Tennessee, Yelm; + Washington, Agua Caliente Springs, California, Dayton, Virginia)", + "properties.entity.operator": " (e.g., On file, First Team Pilot Training LLC, + file On, Anderson Aviation LLC, Flying W Ranch)", + "properties.entity.temperature": " (e.g., 18'C /-2'C, 15.8C, 13'C, 2C / -3C)", + "properties.entity.registration": " (e.g., N5841W, N2875K, N6482B, N43156, N225V)", + "properties.entity.visibility": " (e.g., , miles, 0.5 miles, 7 miles, 10 miles)", + "properties.entity.aircraft": " (e.g., Piper PA-32R-301, Beech 95-C55, Cessna 172, + Piper PA-28-160, Cessna 180K)", + "properties.entity.conditionOfLight": " (e.g., , Night/dark, Night, Day, Dusk)", + "properties.entity.windDirection": " (e.g., , 190\\u00b0, 200, 2005, 040\\u00b0)", + "properties.entity.lowestCloudCondition": " (e.g., , Broken 3800 ft AGL, Overcast + 500 ft AGL, Clear, Overcast 200 ft AGL)", + "properties.entity.injuries": " (e.g., Minor, Fatal, None, 3 None, 2 None)", + "properties.entity.flightConductedUnder": " (e.g., + Part 91: General aviation Instructional, Part 135: Air taxi & commuter Non-scheduled, Part 91: + General aviation Personal, Part 135: Air taxi & commuter Scheduled, Part 91: General aviation + Business)" +} + """ + +PLANNER_EXAMPLES = [ + ( + "List the incidents in Georgia in 2023.", + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the incident reports", + "index": OPENSEARCH_INDEX, + "node_id": 0, + "query": { + "bool": { + "must": [ + { + "range": { + "properties.entity.dateTime": { + "gte": "2023-01-01T00:00:00", + "lte": "2023-12-31T23:59:59", + "format": "strict_date_optional_time", + } + } + }, + {"match": {"properties.entity.location": "Georgia"}}, + ] + } + }, + }, + ], + ), + ( + "Show the incidents involving Piper aircraft.", + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the incident reports", + "index": OPENSEARCH_INDEX, + "node_id": 0, + "query": {"match": {"properties.entity.aircraft": "Piper"}}, + }, + ], + ), + ( + "How many incidents happened in clear weather?", + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the incident reports in clear weather", + "index": OPENSEARCH_INDEX, + "node_id": 0, + "query": {"match": {"properties.entity.conditions": "VMC"}}, + }, + { + "operatorName": "Count", + "description": "Count the number of incidents", + "distinct_field": "properties.entity.accidentNumber", + "input": [0], + "node_id": 1, + }, + ], + ), + ( + "What types of aircrafts were involved in accidents in California?", + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the incident reports in California", + "index": OPENSEARCH_INDEX, + "query": {"match": {"properties.entity.location": "California"}}, + "node_id": 0, + }, + { + "operatorName": "TopK", + "description": "Get the types of aircraft involved in incidents in California", + "field": "properties.entity.aircraft", + "primary_field": "properties.entity.accidentNumber", + "K": 100, + "descending": False, + "llm_cluster": False, + "llm_cluster_instruction": None, + "input": [0], + "node_id": 1, + }, + ], + ), + ( + "Which aircraft accidents in California in 2023 occurred when the wind was stronger than 4 knots?", + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the incident reports in California in 2023", + "index": OPENSEARCH_INDEX, + "query": { + "bool": { + "must": [ + { + "range": { + "properties.entity.dateTime": { + "gte": "2023-01-01T00:00:00", + "lte": "2023-12-31T23:59:59", + "format": "strict_date_optional_time", + } + } + }, + {"match": {"properties.entity.location": "California"}}, + ] + } + }, + "node_id": 0, + }, + { + "operatorName": "LlmFilter", + "description": "Filter to reports with wind speed greater than 4 knots", + "index": OPENSEARCH_INDEX, + "question": "Is the wind speed greater than 4 knots?", + "field": "properties.entity.windSpeed", + "input": [0], + "node_id": 1, + }, + ], + ), + ( + "Which three aircraft types were involved in the most accidents?", + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the incident reports", + "index": OPENSEARCH_INDEX, + "node_id": 0, + "query": {"match_all": {}}, + }, + { + "operatorName": "TopK", + "description": "Get the top three aircraft types involved in accidents", + "field": "properties.entity.aircraft", + "primary_field": "properties.entity.accidentNumber", + "K": 3, + "descending": True, + "llm_cluster": False, + "llm_cluster_instruction": None, + "input": [0], + "node_id": 1, + }, + ], + ), + ( + "Show some incidents where pilot training was mentioned as a cause", + [ + { + "operatorName": "QueryVectorDatabase", + "description": "Get incident reports mentioning pilot training", + "index": OPENSEARCH_INDEX, + "query_phrase": "pilot training", + "node_id": 0, + }, + ], + ), + ( + "Show all incidents involving a Cessna 172 aircraft", + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the incident reports involving a Cessna 172 aircraft", + "index": OPENSEARCH_INDEX, + "query": {"match": {"properties.entity.aircraft": "Cessna 172"}}, + "node_id": 0, + }, + ], + ), +] + + +def generate_example_prompt() -> str: + prompt = f"The following examples refer to the following data schema:\n{PLANNER_EXAMPLE_SCHEMA}\n\n" + for index, (query, plan) in enumerate(PLANNER_EXAMPLES): + plan_string = json.dumps(plan) + prompt += f"Example {index+1}:\nUSER QUESTION: {query}\nAnswer:\n{plan_string}\n\n" + return prompt + class MDXParser(HTMLParser): @@ -496,11 +715,11 @@ def query_data_source(query: str, index: str) -> Tuple[Any, Optional[Any], Optio return do_rag_query(query, index), None, None else: sqclient = SycamoreQueryClient( - s3_cache_path=st.session_state.s3_cache_path if st.session_state.use_cache else None, + s3_cache_path=S3_CACHE_PATH, trace_dir=st.session_state.trace_dir, ) with st.spinner("Generating plan..."): - plan = generate_plan(sqclient, query, index) + plan = generate_plan(sqclient, query, index, examples=generate_example_prompt()) print(f"Generated plan:\n{plan}\n") # No need to show the prompt used in the demo. plan.llm_prompt = None @@ -608,6 +827,11 @@ def do_query(): tool_response_str = "No results found for your query." except Exception as e: st.error(f"Error running Sycamore query: {e}") + print(f"Error running Sycamore query: {e}") + # Print stack trace. + import traceback + + traceback.print_exc() tool_response_str = f"There was an error running your query: {e}" finally: print(f"\nTool response: {tool_response_str}") @@ -647,9 +871,6 @@ def main(): if "openai_model" not in st.session_state: st.session_state["openai_model"] = "gpt-4o" - if "s3_cache_path" not in st.session_state: - st.session_state.s3_cache_path = "s3://aryn-temp/llm_cache/luna/query-demo" - if "use_cache" not in st.session_state: st.session_state.use_cache = True @@ -665,7 +886,7 @@ def main(): if "trace_dir" not in st.session_state: st.session_state.trace_dir = os.path.join(os.getcwd(), "traces") - st.title("Sycamore NTSB Query Demo") + st.title(":airplane: Aryn NTSB Report Query Demo") st.toggle("Use RAG only", key="rag_only") show_messages() diff --git a/apps/query-demo/querydemo/util.py b/apps/query-demo/querydemo/util.py index 1af4389cd..9f2f996ae 100644 --- a/apps/query-demo/querydemo/util.py +++ b/apps/query-demo/querydemo/util.py @@ -3,7 +3,7 @@ import os import pickle import pandas as pd -from typing import Any, Dict, Set, Tuple +from typing import Any, Dict, Optional, Set, Tuple import boto3 import ray @@ -34,8 +34,8 @@ def get_schema(_client: SycamoreQueryClient, index: str) -> Dict[str, Tuple[str, return _client.get_opensearch_schema(index) -def generate_plan(_client: SycamoreQueryClient, query: str, index: str) -> LogicalPlan: - return _client.generate_plan(query, index, get_schema(_client, index)) +def generate_plan(_client: SycamoreQueryClient, query: str, index: str, examples: Optional[str] = None) -> LogicalPlan: + return _client.generate_plan(query, index, get_schema(_client, index), examples=examples) def run_plan(_client: SycamoreQueryClient, plan: LogicalPlan) -> Tuple[str, Any]: @@ -133,6 +133,10 @@ class QueryNodeTrace: "properties.entity.dateAndTime", "properties.entity.aircraft", "properties.entity.registration", + "properties.entity.conditions", + "properties.entity.windSpeed", + "properties.entity.visibility", + "properties.entity.lowestCeiling", "properties.entity.injuries", "properties.entity.aircraftDamage", "text_representation", diff --git a/lib/sycamore/sycamore/docset.py b/lib/sycamore/sycamore/docset.py index 426ae5579..78352806f 100644 --- a/lib/sycamore/sycamore/docset.py +++ b/lib/sycamore/sycamore/docset.py @@ -1222,7 +1222,9 @@ def llm_cluster_entity(self, llm: LLM, instruction: str, field: str, **kwargs) - """ docset = self - text = ", ".join([doc.field_to_value(field) for doc in docset.take_all()]) + # Not all documents will have a value for the given field, so we filter those out. + field_values = [doc.field_to_value(field) for doc in docset.take_all()] + text = ", ".join([str(v) for v in field_values if v is not None]) # sets message messages = LlmClusterEntityFormGroupsMessagesPrompt( diff --git a/lib/sycamore/sycamore/query/client.py b/lib/sycamore/sycamore/query/client.py index c4cf57fbe..b7b992f0e 100755 --- a/lib/sycamore/sycamore/query/client.py +++ b/lib/sycamore/sycamore/query/client.py @@ -159,7 +159,12 @@ def get_opensearch_schema(self, index: str) -> OpenSearchSchema: return schema_provider.get_schema() def generate_plan( - self, query: str, index: str, schema: OpenSearchSchema, natural_language_response: bool = False + self, + query: str, + index: str, + schema: OpenSearchSchema, + examples: Optional[str] = None, + natural_language_response: bool = False, ) -> LogicalPlan: """Generate a logical query plan for the given query, index, and schema. @@ -179,6 +184,7 @@ def generate_plan( os_config=self.os_config, os_client=self._os_client, llm_client=llm_client, + examples=examples, natural_language_response=natural_language_response, ) plan = planner.plan(query) diff --git a/lib/sycamore/sycamore/query/planner.py b/lib/sycamore/sycamore/query/planner.py index a9f3d3d1c..a7f409373 100644 --- a/lib/sycamore/sycamore/query/planner.py +++ b/lib/sycamore/sycamore/query/planner.py @@ -74,6 +74,307 @@ "8. The last step of each plan *MUST* be a **SummarizeData** operation that returns a natural language response." ) +PLANNER_EXAMPLES = """ + EXAMPLE 1a: + + Data description: Database of aircraft incidents + Schema: { + 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), + 'properties.entity.aircraft': "() e.g. (Boeing 123), (Cessna Mini 5), (Piper 0.5), + 'properties.entity.location': "() e.g. (Atlanta, GA), (Phoenix, Arizona), + (Boise, Idaho), + 'properties.entity.accidentNumber': "() e.g. (3589), (5903), (7531L), + 'text_representation': '() Can be assumed to have all other details' + } + Question: Were there any incidents in Georgia? + Answer: + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the incident reports", + "index": "ntsb", + "node_id": 0 + }, + { + "operatorName": "LlmFilter", + "description": "Filter to only include incidents in Georgia", + "question": "Did this incident occur in Georgia?", + "field": "properties.entity.location", + "input": [0], + "node_id": 1 + }, + ] + + EXAMPLE 1b: + + Data description: Database of aircraft incidents + Schema: { + 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), + 'properties.entity.aircraft': "() e.g. (Boeing 123), (Cessna Mini 5), (Piper 0.5), + 'properties.entity.location': "() e.g. (Atlanta, Georgia), (Phoenix, Arizona), + (Boise, Idaho), + 'properties.entity.accidentNumber': "() e.g. (3589), (5903), (7531L), + 'text_representation': '() Can be assumed to have all other details' + } + Question: Show incidents between July 1, 2023 and September 1, 2024 with an accident number + containing '1234' that occurred in Georgia. + Answer: + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the incident reports in the specified date range matching the + accident number", + "index": "ntsb", + "query": { + "bool": { + "must": [ + { + "range": { + "properties.entity.isoDateTime": { + "gte": "2023-07-01T00:00:00", + "lte": "2024-09-30T23:59:59", + "format": "strict_date_optional_time" + } + } + }, + { + "match": { + "properties.entity.accidentNumber": "1234" + } + }, + { + "match": { + "properties.entity.location": "Georgia" + } + }, + ] + } + }, + "node_id": 0 + } + ] + + EXAMPLE 2: + Data description: Database of aircraft incidents + Schema: { + 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), + 'properties.entity.aircraft': "() e.g. (Boeing 123), (Cessna Mini 5), (Piper 0.5), + 'properties.entity.city': "() e.g. (Orlando, FL), (Palo Alto, CA), (Orlando, FL), + 'properties.entity.accidentNumber': "() e.g. (3589), (5903), (7531L), + 'text_representation': '() Can be assumed to have all other details' + } + Question: How many cities did Cessna aircrafts have incidents in? + Answer: + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the incident reports involving Cessna aircrafts", + "index": "ntsb", + "query": { + "match": { + "properties.entity.aircraft": "Cessna" + } + }, + "node_id": 0 + }, + { + "operatorName": "Count", + "description": "Count the number of cities that accidents occured in", + "distinct_field": "properties.entity.city", + "input": [0], + "node_id": 1 + }, + ] + + EXAMPLE 3: + Data description: Database of financial documents for different law firms + DATA_SCHEMA: + { + 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), + 'properties.entity.revenue': "() e.g. (12304), (7978234), (2938903), + 'properties.entity.firmName': "() e.g. (East West), (Brody), (Hunter & Hunter), + 'text_representation': '() Can be assumed to have all other details' + } + USER QUESTION: Which 2 law firms had the highest revenue in 2022? + Answer: + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the financial documents from 2022", + "index": "finance", + "query": { + "range": { + "properties.entity.isoDateTime": { + "gte": "2022-01-01T00:00:00", + "lte": "2022-12-31T23:59:59", + "format": "strict_date_optional_time" + } + } + }, + "node_id": 0 + }, + { + "operatorName": "Sort", + "description": "Sort in descending order by revenue", + "descending": true, + "field": "properties.entity.revenue", + "default_value": 0 + "input": [0], + "node_id": 1, + }, + { + "operatorName": "Limit", + "description": "Get the 2 law firms with highest revenue", + "K": 2 + "input": [1], + "node_id": 2, + } + ] + + EXAMPLE 4: + Data description: Database of shipwreck records and their respective properties + DATA_SCHEMA: + { + 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), + 'properties.entity.captain': "() e.g. (John D. Moore), (Terry Roberts), + (Alex Clark), + 'properties.entity.shipwreck_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), + 'text_representation': '() Can be assumed to have all other details' + } + USER QUESTION: Which 5 countries were responsible for the most shipwrecks? + Answer: + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the shipwreck records", + "index": "shipwrecks", + "node_id": 0 + }, + { + "operatorName": "LlmExtractEntity", + "description": "Extract the country", + "question": "What country was responsible for this ship?", + "field": "text_representation", + "new_field": "country", + "format": "string", + "discrete": true, + "input": [0], + "node_id": 1 + }, + { + "operatorName": '"TopK"', + "description": "Gets top 5 water bodies based on shipwrecks", + "field": "properties.country", + "primary_field": "properties.entity.shipwreck_id", + "K": 5, + "descending": true, + "llm_cluster": false, + "llm_cluster_instruction": "Form groups of different water bodies", + "input": [1], + "node_id": 2, + }, + ] + + EXAMPLE 5: + Data description: Database of shipwreck records and their respective properties + DATA_SCHEMA: + { + 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), + 'properties.entity.shipwreck_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), + 'text_representation': '() Can be assumed to have all other details' + } + USER QUESTION: What percent of shipwrecks occurred in 2023? + Answer: + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the shipwreck records", + "index": "shipwrecks", + "node_id": 0 + }, + { + "operatorName": "Count", + "description": "Count the number of total shipwrecks", + "distinct_field": "properties.entity.shipwreck_id", + "input": [0], + "node_id": 1 + }, + { + "operatorName": "BasicFilter", + "description": "Filter to only include documents in 2023", + "range_filter": true, + "query": null, + "start": "01-01-2023", + "end": "12-31-2023", + "field": "properties.entity.date", + "is_date": true, + "input": [0], + "node_id": 2, + }, + { + "operatorName": "Count", + "description": "Count the number of shipwrecks in 2023", + "distinct_field": "properties.entity.shipwreck_id", + "input": [2], + "node_id": 3 + }, + { + "operatorName": "Math", + "description": "Divide the number of shipwrecks in 2023 by the total number", + "type": "divide", + "input": [3, 1], + "node_id": 4 + } + ] + + EXAMPLE 6: + Data description: Database of shipwreck records and their respective properties + DATA_SCHEMA: + { + 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), + 'properties.entity.shipwreck_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), + 'text_representation': '() Can be assumed to have all other details' + } + USER QUESTION: Were there any shipwrecks because of sudden weather changes? + Answer: + [ + { + "operatorName": "QueryVectorDatabase", + "description": "Get all the shipwreck records relating to sudden weather changes", + "index": "shipwrecks", + "query_phrase": "sudden weather changes", + "node_id": 0 + } + ] + + EXAMPLE 7: + Data description: Database of hospital patients + DATA_SCHEMA: + { + 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), + 'properties.entity.patient_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), + 'text_representation': '() Can be assumed to have all other details' + } + USER QUESTION: How many total patients? + Answer: + [ + { + "operatorName": "QueryDatabase", + "description": "Get all the patient records", + "index": "patients", + "query": "patient records", + "id": 0 + }, + { + "operatorName": "Count", + "description": "Count the number of total patients", + "distinct_field": "properties.entity.patient_id", + "input": [0], + "id": 1 + }, + ] +""" + class LlmPlanner: """The top-level query planner for SycamoreQuery. This class is responsible for generating @@ -86,7 +387,9 @@ class LlmPlanner: os_client: The OpenSearch client. operators: A list of operators to use in the query plan. llm_client: The LLM client. - use_examples: Whether to include examples in the prompt. + examples: Additional string concatenated to system prompt providing examples of queries + and query plans. You may override this to customize the few-shot examples. + If you wish to pass no examples, use an empty string, rather than None. natural_language_response: Whether to generate a natural language response. If False, the response will be raw data. """ @@ -99,7 +402,7 @@ def __init__( os_client: "OpenSearch", operators: Optional[List[Type[LogicalOperator]]] = None, llm_client: Optional[LLM] = None, - use_examples: bool = True, + examples: Optional[str] = None, natural_language_response: bool = False, ) -> None: super().__init__() @@ -109,7 +412,7 @@ def __init__( self._os_config = os_config self._os_client = os_client self._llm_client = llm_client or OpenAI(OpenAIModels.GPT_4O.value) - self._use_examples = use_examples + self._examples = PLANNER_EXAMPLES if examples is None else examples self._natural_language_response = natural_language_response def make_operator_prompt(self, operator: Type[LogicalOperator]) -> str: @@ -135,6 +438,7 @@ def make_schema_prompt(self) -> str: def generate_system_prompt(self, query: str) -> str: """Generate the LLM system prompt for the given query.""" + # Initial prompt. prompt = PLANNER_SYSTEM_PROMPT if self._natural_language_response: @@ -142,327 +446,26 @@ def generate_system_prompt(self, query: str) -> str: else: prompt += PLANNER_RAW_DATA_PROMPT - # data schema - prompt += f"""\n - INDEX_NAME: {self._index} - """ - prompt += f""" - DATA_SCHEMA: - {self.make_schema_prompt()} - """ + # Few-shot examples. + if self._examples: + prompt += self._examples - # operator definitions + # Operator definitions. prompt += """ + You may use the following operators to construct your query plan: + OPERATORS: """ for operator in self._operators: prompt += self.make_operator_prompt(operator) - # examples - if self._use_examples: - prompt += """ - EXAMPLE 1a: - - Data description: Database of aircraft incidents - Schema: { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.aircraft': "() e.g. (Boeing 123), (Cessna Mini 5), (Piper 0.5), - 'properties.entity.location': "() e.g. (Atlanta, GA), (Phoenix, Arizona), - (Boise, Idaho), - 'properties.entity.accidentNumber': "() e.g. (3589), (5903), (7531L), - 'text_representation': '() Can be assumed to have all other details' - } - Question: Were there any incidents in Georgia? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the incident reports", - "index": "ntsb", - "node_id": 0 - }, - { - "operatorName": "LlmFilter", - "description": "Filter to only include incidents in Georgia", - "question": "Did this incident occur in Georgia?", - "field": "properties.entity.location", - "input": [0], - "node_id": 1 - }, - ] - - EXAMPLE 1b: - - Data description: Database of aircraft incidents - Schema: { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.aircraft': "() e.g. (Boeing 123), (Cessna Mini 5), (Piper 0.5), - 'properties.entity.location': "() e.g. (Atlanta, GA), (Phoenix, Arizona), - (Boise, Idaho), - 'properties.entity.accidentNumber': "() e.g. (3589), (5903), (7531L), - 'text_representation': '() Can be assumed to have all other details' - } - Question: Show incidents between July 1, 2023 and September 1, 2024 with an accident number - containing '1234' that occurred in Georgia. - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the incident reports in the specified date range matching the - accident number", - "index": "ntsb", - "query": { - "bool": { - "must": [ - { - "range": { - "properties.entity.isoDateTime": { - "gte": "2023-07-01T00:00:00", - "lte": "2024-09-30T23:59:59", - "format": "strict_date_optional_time" - } - } - }, - { - "match": { - "properties.entity.accidentNumber": "1234" - } - } - ] - } - }, - "node_id": 0 - }, - { - "operatorName": "LlmFilter", - "description": "Filter to only include incidents in Georgia", - "question": "Did this incident occur in Georgia?", - "field": "properties.entity.location", - "input": [0], - "node_id": 1 - }, - ] - - EXAMPLE 2: - Data description: Database of aircraft incidents - Schema: { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.aircraft': "() e.g. (Boeing 123), (Cessna Mini 5), (Piper 0.5), - 'properties.entity.city': "() e.g. (Orlando, FL), (Palo Alto, CA), (Orlando, FL), - 'properties.entity.accidentNumber': "() e.g. (3589), (5903), (7531L), - 'text_representation': '() Can be assumed to have all other details' - } - Question: How many cities did Cessna aircrafts have incidents in? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the incident reports involving Cessna aircrafts", - "index": "ntsb", - "query": { - "match": { - "properties.entity.aircraft": "Cessna" - } - }, - "node_id": 0 - }, - { - "operatorName": "Count", - "description": "Count the number of cities that accidents occured in", - "distinct_field": "properties.entity.city", - "input": [0], - "node_id": 1 - }, - ] - - EXAMPLE 3: - Data description: Database of financial documents for different law firms - DATA_SCHEMA: - { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.revenue': "() e.g. (12304), (7978234), (2938903), - 'properties.entity.firmName': "() e.g. (East West), (Brody), (Hunter & Hunter), - 'text_representation': '() Can be assumed to have all other details' - } - USER QUESTION: Which 2 law firms had the highest revenue in 2022? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the financial documents from 2022", - "index": "finance", - "query": { - "range": { - "properties.entity.isoDateTime": { - "gte": "2022-01-01T00:00:00", - "lte": "2022-12-31T23:59:59", - "format": "strict_date_optional_time" - } - } - }, - "node_id": 0 - }, - { - "operatorName": "Sort", - "description": "Sort in descending order by revenue", - "descending": true, - "field": "properties.entity.revenue", - "default_value": 0 - "input": [0], - "node_id": 1, - }, - { - "operatorName": "Limit", - "description": "Get the 2 law firms with highest revenue", - "K": 2 - "input": [1], - "node_id": 2, - } - ] + # Data schema. + prompt += f"""The following represents the schema of the data you should return a query plan for: - EXAMPLE 4: - Data description: Database of shipwreck records and their respective properties - DATA_SCHEMA: - { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.captain': "() e.g. (John D. Moore), (Terry Roberts), - (Alex Clark), - 'properties.entity.shipwreck_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), - 'text_representation': '() Can be assumed to have all other details' - } - USER QUESTION: Which 5 countries were responsible for the most shipwrecks? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the shipwreck records", - "index": "shipwrecks", - "node_id": 0 - }, - { - "operatorName": "LlmExtractEntity", - "description": "Extract the country", - "question": "What country was responsible for this ship?", - "field": "text_representation", - "new_field": "country", - "format": "string", - "discrete": true, - "input": [0], - "node_id": 1 - }, - { - "operatorName": '"TopK"', - "description": "Gets top 5 water bodies based on shipwrecks", - "field": "properties.country", - "primary_field": "properties.entity.shipwreck_id", - "K": 5, - "descending": true, - "llm_cluster": false, - "llm_cluster_instruction": "Form groups of different water bodies", - "input": [1], - "node_id": 2, - }, - ] - - EXAMPLE 5: - Data description: Database of shipwreck records and their respective properties - DATA_SCHEMA: - { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.shipwreck_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), - 'text_representation': '() Can be assumed to have all other details' - } - USER QUESTION: What percent of shipwrecks occurred in 2023? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the shipwreck records", - "index": "shipwrecks", - "node_id": 0 - }, - { - "operatorName": "Count", - "description": "Count the number of total shipwrecks", - "distinct_field": "properties.entity.shipwreck_id", - "input": [0], - "node_id": 1 - }, - { - "operatorName": "BasicFilter", - "description": "Filter to only include documents in 2023", - "range_filter": true, - "query": null, - "start": "01-01-2023", - "end": "12-31-2023", - "field": "properties.entity.date", - "is_date": true, - "input": [0], - "node_id": 2, - }, - { - "operatorName": "Count", - "description": "Count the number of shipwrecks in 2023", - "distinct_field": "properties.entity.shipwreck_id", - "input": [2], - "node_id": 3 - }, - { - "operatorName": "Math", - "description": "Divide the number of shipwrecks in 2023 by the total number", - "type": "divide", - "input": [3, 1], - "node_id": 4 - } - ] - - EXAMPLE 6: - Data description: Database of shipwreck records and their respective properties - DATA_SCHEMA: - { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.shipwreck_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), - 'text_representation': '() Can be assumed to have all other details' - } - USER QUESTION: Were there any shipwrecks because of sudden weather changes? - Answer: - [ - { - "operatorName": "QueryVectorDatabase", - "description": "Get all the shipwreck records relating to sudden weather changes", - "index": "shipwrecks", - "query_phrase": "sudden weather changes", - "node_id": 0 - } - ] - - EXAMPLE 7: - Data description: Database of hospital patients - DATA_SCHEMA: - { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.patient_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), - 'text_representation': '() Can be assumed to have all other details' - } - USER QUESTION: How many total patients? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the patient records", - "index": "patients", - "query": "patient records", - "id": 0 - }, - { - "operatorName": "Count", - "description": "Count the number of total patients", - "distinct_field": "properties.entity.patient_id", - "input": [0], - "id": 1 - }, - ] - """ + INDEX_NAME: {self._index} + DATA_SCHEMA: + {self.make_schema_prompt()} + """ return prompt From 8dffc29e52d95627d88b8474bd727cb200437300 Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Sun, 22 Sep 2024 17:53:39 -0700 Subject: [PATCH 09/12] Add feedback button. --- apps/query-demo/querydemo/Query_Demo.py | 4 ++++ 1 file changed, 4 insertions(+) diff --git a/apps/query-demo/querydemo/Query_Demo.py b/apps/query-demo/querydemo/Query_Demo.py index 15222f4f1..311abba10 100644 --- a/apps/query-demo/querydemo/Query_Demo.py +++ b/apps/query-demo/querydemo/Query_Demo.py @@ -546,6 +546,10 @@ def show_messages(): if msg.message.get("content") is None: continue msg.show() + _, col2 = st.columns([0.75, 0.25]) + with col2: + st.link_button("Send feedback", "/feedback", type="primary") + def do_query(): From e228f88eeb6b00a5367c1360d20f2b23c9dcdd0b Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Sun, 22 Sep 2024 18:20:59 -0700 Subject: [PATCH 10/12] Add feedback button. --- apps/query-demo/querydemo/Query_Demo.py | 25 ++++++++++++++++++++----- 1 file changed, 20 insertions(+), 5 deletions(-) diff --git a/apps/query-demo/querydemo/Query_Demo.py b/apps/query-demo/querydemo/Query_Demo.py index f18b39e42..51d503cc3 100644 --- a/apps/query-demo/querydemo/Query_Demo.py +++ b/apps/query-demo/querydemo/Query_Demo.py @@ -491,12 +491,22 @@ def show(self): show_query_traces(st.session_state.trace_dir, self.query_id) +@st.dialog("Send Feedback", width="large") +def send_feedback(): + feedback_form_code = ( + """""" + ) + with st.container(height=800): + st.markdown(feedback_form_code, unsafe_allow_html=True) + + class ChatMessage: def __init__( self, message: Optional[Dict[str, Any]] = None, before_extras: Optional[List[ChatMessageExtra]] = None, after_extras: Optional[List[ChatMessageExtra]] = None, + feedback_button: bool = False, ): self.message_id = st.session_state.next_message_id st.session_state.next_message_id += 1 @@ -505,6 +515,7 @@ def __init__( self.before_extras = before_extras or [] self.after_extras = after_extras or [] self.widget_key = 0 + self.feedback_button = feedback_button def show(self): self.widget_key = 0 @@ -521,6 +532,8 @@ def show_content(self): for extra in self.after_extras: with st.expander(extra.name): extra.show() + if self.feedback_button: + self.show_feedback_button() def button(self, label: str, **kwargs): return st.button(label, key=self.next_key(), **kwargs) @@ -528,6 +541,12 @@ def button(self, label: str, **kwargs): def download_button(self, label: str, content: bytes, filename: str, file_type: str, **kwargs): return st.download_button(label, content, filename, file_type, key=self.next_key(), **kwargs) + def show_feedback_button(self): + _, col2 = st.columns([0.75, 0.25]) + with col2: + if self.button("Send feedback"): + send_feedback() + def next_key(self) -> str: key = f"{self.message_id}-{self.widget_key}" self.widget_key += 1 @@ -765,10 +784,6 @@ def show_messages(): if msg.message.get("content") is None: continue msg.show() - _, col2 = st.columns([0.75, 0.25]) - with col2: - st.link_button("Send feedback", "/feedback", type="primary") - def do_query(): @@ -795,7 +810,7 @@ def do_query(): tool_choice="auto", ) response_dict = response.choices[0].message.to_dict() - assistant_message = ChatMessage(response_dict) + assistant_message = ChatMessage(response_dict, feedback_button=True) st.session_state.messages.append(assistant_message) tool_calls = response.choices[0].message.tool_calls From 75108faefc8ad94677809f3ee59841553666efc6 Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Tue, 1 Oct 2024 09:31:03 -0700 Subject: [PATCH 11/12] Fix examples. --- lib/sycamore/sycamore/query/planner.py | 303 +------------------------ 1 file changed, 1 insertion(+), 302 deletions(-) diff --git a/lib/sycamore/sycamore/query/planner.py b/lib/sycamore/sycamore/query/planner.py index 6b7244718..ed8d4da69 100644 --- a/lib/sycamore/sycamore/query/planner.py +++ b/lib/sycamore/sycamore/query/planner.py @@ -75,307 +75,6 @@ "8. The last step of each plan *MUST* be a **SummarizeData** operation that returns a natural language response." ) -PLANNER_EXAMPLES = """ - EXAMPLE 1a: - - Data description: Database of aircraft incidents - Schema: { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.aircraft': "() e.g. (Boeing 123), (Cessna Mini 5), (Piper 0.5), - 'properties.entity.location': "() e.g. (Atlanta, GA), (Phoenix, Arizona), - (Boise, Idaho), - 'properties.entity.accidentNumber': "() e.g. (3589), (5903), (7531L), - 'text_representation': '() Can be assumed to have all other details' - } - Question: Were there any incidents in Georgia? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the incident reports", - "index": "ntsb", - "node_id": 0 - }, - { - "operatorName": "LlmFilter", - "description": "Filter to only include incidents in Georgia", - "question": "Did this incident occur in Georgia?", - "field": "properties.entity.location", - "input": [0], - "node_id": 1 - }, - ] - - EXAMPLE 1b: - - Data description: Database of aircraft incidents - Schema: { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.aircraft': "() e.g. (Boeing 123), (Cessna Mini 5), (Piper 0.5), - 'properties.entity.location': "() e.g. (Atlanta, Georgia), (Phoenix, Arizona), - (Boise, Idaho), - 'properties.entity.accidentNumber': "() e.g. (3589), (5903), (7531L), - 'text_representation': '() Can be assumed to have all other details' - } - Question: Show incidents between July 1, 2023 and September 1, 2024 with an accident number - containing '1234' that occurred in Georgia. - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the incident reports in the specified date range matching the - accident number", - "index": "ntsb", - "query": { - "bool": { - "must": [ - { - "range": { - "properties.entity.isoDateTime": { - "gte": "2023-07-01T00:00:00", - "lte": "2024-09-30T23:59:59", - "format": "strict_date_optional_time" - } - } - }, - { - "match": { - "properties.entity.accidentNumber": "1234" - } - }, - { - "match": { - "properties.entity.location": "Georgia" - } - }, - ] - } - }, - "node_id": 0 - } - ] - - EXAMPLE 2: - Data description: Database of aircraft incidents - Schema: { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.aircraft': "() e.g. (Boeing 123), (Cessna Mini 5), (Piper 0.5), - 'properties.entity.city': "() e.g. (Orlando, FL), (Palo Alto, CA), (Orlando, FL), - 'properties.entity.accidentNumber': "() e.g. (3589), (5903), (7531L), - 'text_representation': '() Can be assumed to have all other details' - } - Question: How many cities did Cessna aircrafts have incidents in? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the incident reports involving Cessna aircrafts", - "index": "ntsb", - "query": { - "match": { - "properties.entity.aircraft": "Cessna" - } - }, - "node_id": 0 - }, - { - "operatorName": "Count", - "description": "Count the number of cities that accidents occured in", - "distinct_field": "properties.entity.city", - "input": [0], - "node_id": 1 - }, - ] - - EXAMPLE 3: - Data description: Database of financial documents for different law firms - DATA_SCHEMA: - { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.revenue': "() e.g. (12304), (7978234), (2938903), - 'properties.entity.firmName': "() e.g. (East West), (Brody), (Hunter & Hunter), - 'text_representation': '() Can be assumed to have all other details' - } - USER QUESTION: Which 2 law firms had the highest revenue in 2022? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the financial documents from 2022", - "index": "finance", - "query": { - "range": { - "properties.entity.isoDateTime": { - "gte": "2022-01-01T00:00:00", - "lte": "2022-12-31T23:59:59", - "format": "strict_date_optional_time" - } - } - }, - "node_id": 0 - }, - { - "operatorName": "Sort", - "description": "Sort in descending order by revenue", - "descending": true, - "field": "properties.entity.revenue", - "default_value": 0 - "input": [0], - "node_id": 1, - }, - { - "operatorName": "Limit", - "description": "Get the 2 law firms with highest revenue", - "K": 2 - "input": [1], - "node_id": 2, - } - ] - - EXAMPLE 4: - Data description: Database of shipwreck records and their respective properties - DATA_SCHEMA: - { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.captain': "() e.g. (John D. Moore), (Terry Roberts), - (Alex Clark), - 'properties.entity.shipwreck_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), - 'text_representation': '() Can be assumed to have all other details' - } - USER QUESTION: Which 5 countries were responsible for the most shipwrecks? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the shipwreck records", - "index": "shipwrecks", - "node_id": 0 - }, - { - "operatorName": "LlmExtractEntity", - "description": "Extract the country", - "question": "What country was responsible for this ship?", - "field": "text_representation", - "new_field": "country", - "format": "string", - "discrete": true, - "input": [0], - "node_id": 1 - }, - { - "operatorName": '"TopK"', - "description": "Gets top 5 water bodies based on shipwrecks", - "field": "properties.country", - "primary_field": "properties.entity.shipwreck_id", - "K": 5, - "descending": true, - "llm_cluster": false, - "llm_cluster_instruction": "Form groups of different water bodies", - "input": [1], - "node_id": 2, - }, - ] - - EXAMPLE 5: - Data description: Database of shipwreck records and their respective properties - DATA_SCHEMA: - { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.shipwreck_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), - 'text_representation': '() Can be assumed to have all other details' - } - USER QUESTION: What percent of shipwrecks occurred in 2023? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the shipwreck records", - "index": "shipwrecks", - "node_id": 0 - }, - { - "operatorName": "Count", - "description": "Count the number of total shipwrecks", - "distinct_field": "properties.entity.shipwreck_id", - "input": [0], - "node_id": 1 - }, - { - "operatorName": "BasicFilter", - "description": "Filter to only include documents in 2023", - "range_filter": true, - "query": null, - "start": "01-01-2023", - "end": "12-31-2023", - "field": "properties.entity.date", - "is_date": true, - "input": [0], - "node_id": 2, - }, - { - "operatorName": "Count", - "description": "Count the number of shipwrecks in 2023", - "distinct_field": "properties.entity.shipwreck_id", - "input": [2], - "node_id": 3 - }, - { - "operatorName": "Math", - "description": "Divide the number of shipwrecks in 2023 by the total number", - "type": "divide", - "input": [3, 1], - "node_id": 4 - } - ] - - EXAMPLE 6: - Data description: Database of shipwreck records and their respective properties - DATA_SCHEMA: - { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.shipwreck_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), - 'text_representation': '() Can be assumed to have all other details' - } - USER QUESTION: Were there any shipwrecks because of sudden weather changes? - Answer: - [ - { - "operatorName": "QueryVectorDatabase", - "description": "Get all the shipwreck records relating to sudden weather changes", - "index": "shipwrecks", - "query_phrase": "sudden weather changes", - "node_id": 0 - } - ] - - EXAMPLE 7: - Data description: Database of hospital patients - DATA_SCHEMA: - { - 'properties.entity.date': "() e.g. (2023-01-14), (2023-01-14), (2023-01-29), - 'properties.entity.patient_id': "() e.g. (ABFUHEU), (FUIHWHD), (FGHIOWB), - 'text_representation': '() Can be assumed to have all other details' - } - USER QUESTION: How many total patients? - Answer: - [ - { - "operatorName": "QueryDatabase", - "description": "Get all the patient records", - "index": "patients", - "query": "patient records", - "id": 0 - }, - { - "operatorName": "Count", - "description": "Count the number of total patients", - "distinct_field": "properties.entity.patient_id", - "input": [0], - "id": 1 - }, - ] -""" - def process_json_plan( plan: typing.Union[str, Any], operators: Optional[List[Type[LogicalOperator]]] = None @@ -462,7 +161,7 @@ class PlannerExample: } -PLANNER_EXAMPLES = [ +PLANNER_EXAMPLES: List[PlannerExample] = [ PlannerExample( query="Were there any incidents in Georgia?", schema=EXAMPLE_NTSB_SCHEMA, From 7819f8d70f246a8433244609fd312177c14f8394 Mon Sep 17 00:00:00 2001 From: Matt Welsh Date: Tue, 1 Oct 2024 09:38:16 -0700 Subject: [PATCH 12/12] Add local-inference. --- apps/query-ui/poetry.lock | 4331 ++++++++++++++++++++++------------ apps/query-ui/pyproject.toml | 2 +- 2 files changed, 2862 insertions(+), 1471 deletions(-) diff --git a/apps/query-ui/poetry.lock b/apps/query-ui/poetry.lock index fd48a4316..b06a6e08c 100644 --- a/apps/query-ui/poetry.lock +++ b/apps/query-ui/poetry.lock @@ -2,98 +2,113 @@ [[package]] name = "aiohappyeyeballs" -version = "2.3.4" +version = "2.4.3" description = "Happy Eyeballs for asyncio" optional = false -python-versions = "<4.0,>=3.8" +python-versions = ">=3.8" files = [ - {file = "aiohappyeyeballs-2.3.4-py3-none-any.whl", hash = "sha256:40a16ceffcf1fc9e142fd488123b2e218abc4188cf12ac20c67200e1579baa42"}, - {file = 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