Check for TESS/TICA FFIs when getting products for observations

astroquery/mast/observations.py

@@ -407,6 +407,48 @@ def query_criteria_count(self, *, pagesize=None, page=None, **criteria):
 
         return self._portal_api_connection.service_request(service, params)[0][0].astype(int)
 
+    def _filter_ffi_observations(self, observations):
+        """
+        Given a `~astropy.table.Row` or `~astropy.table.Table` of observations, filter out full-frame images (FFIs)
+        from TESS and TICA. If any observations are filtered, warn the user.
+
+        Parameters
+        ----------
+        observations : `~astropy.table.Row` or `~astropy.table.Table`
+            Row/Table of MAST query results (e.g. output from `query_object`)
+
+        Returns
+        -------
+        filtered_obs_table : filtered observations Table
+        """
+        obs_table = Table(observations)
+        tess_ffis = obs_table[obs_table['target_name'] == 'TESS FFI']['obs_id']
+        tica_ffis = obs_table[obs_table['target_name'] == 'TICA FFI']['obs_id']
+
+        if tess_ffis.size:
+            # Warn user if TESS FFIs exist
+            log.warning("Because of their large size, Astroquery should not be used to "
+                        "download TESS FFI products.\n"
+                        "If you are looking for TESS image data for a specific target, "
+                        "please use TESScut at https://mast.stsci.edu/tesscut/.\n"
+                        "If you need a TESS image for an entire field, please see our "
+                        "dedicated page for downloading larger quantities of TESS data at \n"
+                        "https://archive.stsci.edu/tess/. Data products will not be fetched "
+                        "for the following observations IDs: \n" + "\n".join(tess_ffis))
+
+        if tica_ffis.size:
+            # Warn user if TICA FFIs exist
+            log.warning("Because of their large size, Astroquery should not be used to "
+                        "download TICA FFI products.\n"
+                        "Please see our dedicated page for downloading larger quantities of "
+                        "TICA data: https://archive.stsci.edu/hlsp/tica.\n"
+                        "Data products will not be fetched for the following "
+                        "observation IDs: \n" + "\n".join(tica_ffis))
+
+        # Filter out FFIs with a mask
+        mask = (obs_table['target_name'] != 'TESS FFI') & (obs_table['target_name'] != 'TICA FFI')
+        return obs_table[mask]
+
     @class_or_instance
     def get_product_list_async(self, observations):
         """
@@ -423,15 +465,16 @@ def get_product_list_async(self, observations):
 
         Returns
         -------
-            response : list of `~requests.Response`
+        response : list of `~requests.Response`
         """
 
         # getting the obsid list
-        if isinstance(observations, Row):
-            observations = observations["obsid"]
         if np.isscalar(observations):
             observations = np.array([observations])
-        if isinstance(observations, Table):
+        if isinstance(observations, Table) or isinstance(observations, Row):
+            # Filter out TESS FFIs and TICA FFIs
+            # Can only perform filtering on Row or Table because of access to `target_name` field
+            observations = self._filter_ffi_observations(observations)
             observations = observations['obsid']
         if isinstance(observations, list):
             observations = np.array(observations)

astroquery/mast/tests/test_mast_remote.py

@@ -369,6 +369,20 @@ def test_observations_get_product_list(self):
         assert len(obs_collection) == 1
         assert obs_collection[0] == 'IUE'
 
+    def test_observations_get_product_list_tess_tica(self, caplog):
+        # Get observations and products with both TESS and TICA FFIs
+        obs = Observations.query_criteria(target_name=['TESS FFI', 'TICA FFI', '429031146'])
+        prods = Observations.get_product_list(obs)
+
+        # Check that WARNING messages about FFIs were logged
+        with caplog.at_level("WARNING", logger="astroquery"):
+            assert "TESS FFI products" in caplog.text
+            assert "TICA FFI products" in caplog.text
+
+        # Should only return products corresponding to target 429031146
+        assert len(prods) > 0
+        assert (np.char.find(prods['obs_id'], '429031146') != -1).all()
+
     def test_observations_filter_products(self):
         observations = Observations.query_object("M8", radius=".04 deg")
         obsLoc = np.where(observations["obs_id"] == 'ktwo200071160-c92_lc')