merge from main to experiments

.env.example

@@ -5,7 +5,5 @@
 # OpenAI API Key
 OPENAI_API_KEY=YOUR_OPENAI_API_KEY_GOES_HERE  # pragma: allowlist secret
 
-# PQA API Key to use LiteratureSearch tool (optional) -- it also requires OpenAI key
-PQA_API_KEY=YOUR_PQA_API_KEY_GOES_HERE # pragma: allowlist secret
 
 # Optional: add TogetherAI, Fireworks, or Anthropic API key here to use their models

.pre-commit-config.yaml

@@ -10,28 +10,28 @@ repos:
       - id: mixed-line-ending
       - id: check-added-large-files
   - repo: https://github.com/astral-sh/ruff-pre-commit
-    rev: "v0.0.270"
+    rev: "v0.7.1"
     hooks:
       - id: ruff
         args: [ --fix, --exit-non-zero-on-fix ]
   - repo: https://github.com/psf/black
-    rev: "23.3.0"
+    rev: "24.10.0"
     hooks:
       - id: black
         language_version: python3
   - repo: https://github.com/pre-commit/mirrors-mypy
-    rev: "v1.3.0"
+    rev: "v1.13.0"
     hooks:
       - id: mypy
         args: [--pretty, --ignore-missing-imports]
         additional_dependencies: [types-requests]
   - repo: https://github.com/PyCQA/isort
-    rev: "5.12.0"
+    rev: "5.13.2"
     hooks:
       - id: isort
         args: [--profile=black]
   - repo: https://github.com/Yelp/detect-secrets
-    rev: v1.0.3
+    rev: v1.5.0
     hooks:
       - id: detect-secrets
         args: [--exclude-files, ".github/workflows/"]

mdagent/tools/base_tools/__init__.py

@@ -4,11 +4,7 @@
 from .analysis_tools.plot_tools import SimulationOutputFigures
 from .analysis_tools.ppi_tools import PPIDistance
 from .analysis_tools.rdf_tool import RDFTool
-from .analysis_tools.rgy import (
-    RadiusofGyrationAverage,
-    RadiusofGyrationPerFrame,
-    RadiusofGyrationPlot,
-)
+from .analysis_tools.rgy import RadiusofGyrationTool
 from .analysis_tools.rmsd_tools import ComputeLPRMSD, ComputeRMSD, ComputeRMSF
 from .analysis_tools.sasa import SolventAccessibleSurfaceArea
 from .analysis_tools.secondary_structure import (
@@ -80,9 +76,7 @@
     "PCATool",
     "PPIDistance",
     "ProteinName2PDBTool",
-    "RadiusofGyrationAverage",
-    "RadiusofGyrationPerFrame",
-    "RadiusofGyrationPlot",
+    "RadiusofGyrationTool",
     "RDFTool",
     "RMSDCalculator",
     "Scholar2ResultLLM",

mdagent/tools/base_tools/analysis_tools/__init__.py

@@ -3,7 +3,7 @@
 from .pca_tools import PCATool
 from .plot_tools import SimulationOutputFigures
 from .ppi_tools import PPIDistance
-from .rgy import RadiusofGyrationAverage, RadiusofGyrationPerFrame, RadiusofGyrationPlot
+from .rgy import RadiusofGyrationTool
 from .rmsd_tools import ComputeLPRMSD, ComputeRMSD, ComputeRMSF
 from .sasa import SolventAccessibleSurfaceArea
 from .vis_tools import VisFunctions, VisualizeProtein
@@ -17,9 +17,7 @@
     "MomentOfInertia",
     "PCATool",
     "PPIDistance",
-    "RadiusofGyrationAverage",
-    "RadiusofGyrationPerFrame",
-    "RadiusofGyrationPlot",
+    "RadiusofGyrationTool",
     "RMSDCalculator",
     "SimulationOutputFigures",
     "SolventAccessibleSurfaceArea",

mdagent/tools/base_tools/analysis_tools/plot_tools.py

@@ -124,7 +124,7 @@ def _run(self, file_id: str) -> str:
             plotting_tools._find_file(file_id)
             plotting_tools.process_csv()
             plot_result = plotting_tools.plot_data()
-            if type(plot_result) == str:
+            if isinstance(plot_result, str):
                 return "Succeeded. IDs of figures created: " + plot_result
             else:
                 return "Failed. No figures created."

mdagent/tools/base_tools/analysis_tools/rdf_tool.py

@@ -159,7 +159,7 @@ def validate_input(self, input):
             )
 
         if stride:
-            if type(stride) != int:
+            if not isinstance(stride, int):
                 try:
                     stride = int(stride)
                     if stride <= 0:

mdagent/tools/base_tools/analysis_tools/rgy.py

@@ -14,6 +14,7 @@ def __init__(self, path_registry):
         self.top_file = ""
         self.traj_file = ""
         self.traj = None
+        self.rgy_file = ""
 
     def _load_traj(self, top_file: str, traj_file: str):
         self.traj_file = traj_file
@@ -25,38 +26,36 @@ def _load_traj(self, top_file: str, traj_file: str):
             traj_required=True,
         )
 
-    def rgy_per_frame(self, force_recompute: bool = False) -> str:
+    def rgy_per_frame(self) -> str:
         rg_per_frame = md.compute_rg(self.traj)
         self.rgy_file = (
             f"{self.path_registry.ckpt_figures}/radii_of_gyration_{self.traj_file}.csv"
         )
         rgy_id = f"rgy_{self.traj_file}"
-        if rgy_id in self.path_registry.list_path_names() and force_recompute is False:
-            print("RGY already computed, skipping re-compute")
-            # todo -> maybe allow re-compute & save under different id/path
-        else:
-            np.savetxt(
-                self.rgy_file,
-                rg_per_frame,
-                delimiter=",",
-                header="Radius of Gyration (nm)",
-            )
-            self.path_registry.map_path(
-                f"rgy_{self.traj_file}",
-                self.rgy_file,
-                description=f"Radii of gyration per frame for {self.traj_file}",
-            )
+        np.savetxt(
+            self.rgy_file,
+            rg_per_frame,
+            delimiter=",",
+            header="Radius of Gyration (nm)",
+        )
+        self.path_registry.map_path(
+            f"rgy_{self.traj_file}",
+            self.rgy_file,
+            description=f"Radii of gyration per frame for {self.traj_file}",
+        )
         return f"Radii of gyration saved to {self.rgy_file} with id {rgy_id}."
 
     def rgy_average(self) -> str:
-        _ = self.rgy_per_frame()
+        if not self.rgy_file:
+            _ = self.rgy_per_frame()
         rg_per_frame = np.loadtxt(self.rgy_file, delimiter=",", skiprows=1)
         avg_rg = rg_per_frame.mean()
 
         return f"Average radius of gyration: {avg_rg:.2f} nm"
 
     def plot_rgy(self) -> str:
-        _ = self.rgy_per_frame()
+        if not self.rgy_file:
+            _ = self.rgy_per_frame()
         rg_per_frame = np.loadtxt(self.rgy_file, delimiter=",", skiprows=1)
         fig_analysis = f"rgy_{self.traj_file}"
         plot_name = self.path_registry.write_file_name(
@@ -66,9 +65,8 @@ def plot_rgy(self) -> str:
         plot_id = self.path_registry.get_fileid(
             file_name=plot_name, type=FileType.FIGURE
         )
-        if plot_name.endswith(".png"):
-            plot_name = plot_name.split(".png")[0]
         plot_path = f"{self.path_registry.ckpt_figures}/{plot_name}"
+        plot_path = plot_path if plot_path.endswith(".png") else plot_path + ".png"
         print("plot_path", plot_path)
         plt.plot(rg_per_frame)
         plt.xlabel("Frame")
@@ -78,106 +76,51 @@ def plot_rgy(self) -> str:
         plt.savefig(f"{plot_path}")
         self.path_registry.map_path(
             plot_id,
-            plot_path + ".png",
+            plot_path,
             description=f"Plot of radii of gyration over time for {self.traj_file}",
         )
         plt.close()
         plt.clf()
-        return "Plot saved as: " + f"{plot_name}.png with plot ID {plot_id}"
-
-
-class RadiusofGyrationAverage(BaseTool):
-    name = "RadiusofGyrationAverage"
-    description = """This tool calculates the average radius of gyration
-    for a trajectory. Give this tool BOTH the trajectory file ID and the
-    topology file ID."""
+        return "Plot saved as: " + f"{plot_name} with plot ID {plot_id}"
 
-    path_registry: Optional[PathRegistry]
+    def compute_plot_return_avg(self) -> str:
+        rgy_per_frame = self.rgy_per_frame()
+        avg_rgy = self.rgy_average()
+        plot_rgy = self.plot_rgy()
+        return rgy_per_frame + plot_rgy + avg_rgy
 
-    def __init__(self, path_registry):
-        super().__init__()
-        self.path_registry = path_registry
 
-    def _run(self, traj_file: str, top_file: str) -> str:
-        """use the tool."""
-        RGY = RadiusofGyration(self.path_registry)
-        try:
-            RGY._load_traj(top_file=top_file, traj_file=traj_file)
-        except Exception as e:
-            return f"Error loading traj: {e}"
-        try:
-            return "Succeeded. " + RGY.rgy_average()
-        except ValueError as e:
-            return f"Failed. ValueError: {e}"
-        except Exception as e:
-            return f"Failed. {type(e).__name__}: {e}"
-
-    async def _arun(self, query: str) -> str:
-        """Use the tool asynchronously."""
-        raise NotImplementedError("custom_search does not support async")
-
-
-class RadiusofGyrationPerFrame(BaseTool):
-    name = "RadiusofGyrationPerFrame"
-    description = """This tool calculates the radius of gyration
-    at each frame of a given trajectory.
+class RadiusofGyrationTool(BaseTool):
+    name = "RadiusofGyrationTool"
+    description = """This tool calculates and plots
+    the radius of gyration
+    at each frame of a given trajectory and retuns the average.
     Give this tool BOTH the trajectory file ID and the
-    topology file ID.
-    The tool will save the radii of gyration to a csv file and
-    map it to the registry."""
+    topology file ID."""
 
     path_registry: Optional[PathRegistry]
+    rgy: Optional[RadiusofGyration]
+    load_traj: bool = True
 
-    def __init__(self, path_registry):
+    def __init__(self, path_registry, load_traj=True):
         super().__init__()
         self.path_registry = path_registry
+        self.rgy = RadiusofGyration(path_registry)
+        self.load_traj = load_traj  # only for testing
 
     def _run(self, traj_file: str, top_file: str) -> str:
         """use the tool."""
-        RGY = RadiusofGyration(self.path_registry)
-        try:
-            RGY._load_traj(top_file=top_file, traj_file=traj_file)
-        except Exception as e:
-            return f"Error loading traj: {e}"
-        try:
-            return "Succeeded. " + RGY.rgy_per_frame()
-        except ValueError as e:
-            return f"Failed. ValueError: {e}"
-        except Exception as e:
-            return f"Failed. {type(e).__name__}: {e}"
-
-    async def _arun(self, query: str) -> str:
-        """Use the tool asynchronously."""
-        raise NotImplementedError("custom_search does not support async")
-
-
-class RadiusofGyrationPlot(BaseTool):
-    name = "RadiusofGyrationPlot"
-    description = """This tool calculates the radius of gyration
-    at each frame of a given trajectory file and plots it.
-    Give this tool BOTH the trajectory file ID and the
-    topology file ID.
-    The tool will save the plot to a png file and map it to the registry."""
-
-    path_registry: Optional[PathRegistry]
+        assert self.rgy is not None, "RadiusofGyration instance is not initialized"
 
-    def __init__(self, path_registry):
-        super().__init__()
-        self.path_registry = path_registry
-
-    def _run(self, traj_file: str, top_file: str) -> str:
-        """use the tool."""
-        RGY = RadiusofGyration(self.path_registry)
-        try:
-            RGY._load_traj(top_file=top_file, traj_file=traj_file)
-        except Exception as e:
-            return f"Error loading traj: {e}"
+        if self.load_traj:
+            try:
+                self.rgy._load_traj(top_file=top_file, traj_file=traj_file)
+            except Exception as e:
+                return f"Error loading traj: {e}"
         try:
-            return "Succeeded. " + RGY.plot_rgy()
-        except ValueError as e:
-            return f"Failed. ValueError: {e}"
+            return "Succeeded. " + self.rgy.compute_plot_return_avg()
         except Exception as e:
-            return f"Failed. {type(e).__name__}: {e}"
+            return f"Failed Computing RGY: {e}"
 
     async def _arun(self, query: str) -> str:
         """Use the tool asynchronously."""

mdagent/tools/base_tools/preprocess_tools/uniprot.py

@@ -475,7 +475,7 @@ def get_sequence_info(self, query: str, primary_accession: str) -> dict:
                 - 'crc64': The CRC64 hash of the protein sequence (probably not useful)
                 - 'md5': The MD5 hash of the protein sequence (probably not useful)
         """
-        seq_info = self.data = self.get_data(query, desired_field="sequence")
+        seq_info = self.get_data(query, desired_field="sequence")
         if not seq_info:
             return {}
         seq_info_specific = self._match_primary_accession(seq_info, primary_accession)[
@@ -693,9 +693,11 @@ def get_ids(
         if include_uniprotkbids:
             all_ids + [entry["uniProtkbId"] for entry in ids_] if ids_ else []
         accession = self.get_data(query, desired_field="accession")
-        all_ids + [
-            entry["primaryAccession"] for entry in accession
-        ] if accession else []
+        (
+            all_ids + [entry["primaryAccession"] for entry in accession]
+            if accession
+            else []
+        )
         if single_id:
             return [all_ids[0]] if all_ids else []
         return list(set(all_ids))