Provides some basic tools for getting additional information about a lookup field.

Adds an optional 'id' parameter to the lookup endpoint so you can find a specific entry in the lookup table.
Makes sure the data attribute returned on a lookup model is a dictionary, and not a string.
Fixes a previous bug that would crop up in double spaces were used when performing a search.

crc/api.yml

@@ -709,6 +709,13 @@ paths:
         description: The total number of records to return, defaults to 10.
         schema:
           type: integer
+      - name: id
+        in: query
+        required: false
+        description: Rather than supplying a query, you can specify a speicific id to get data back on a lookup field.
+        schema:
+          type: string
+
     get:
       operationId: crc.api.workflow.lookup
       summary: Provides type-ahead search against a lookup table associted with a form field.

crc/api/workflow.py

@@ -41,7 +41,6 @@ def get_workflow_specification(spec_id):
 
 
 def validate_workflow_specification(spec_id):
-
     errors = []
     try:
         WorkflowService.test_spec(spec_id)
@@ -57,7 +56,6 @@ def validate_workflow_specification(spec_id):
     return ApiErrorSchema(many=True).dump(errors)
 
 
-
 def update_workflow_specification(spec_id, body):
     if spec_id is None:
         raise ApiError('unknown_spec', 'Please provide a valid Workflow Spec ID.')
@@ -200,7 +198,7 @@ def delete_workflow_spec_category(cat_id):
     session.commit()
 
 
-def lookup(workflow_id, field_id, query, limit):
+def lookup(workflow_id, field_id, query=None, limit=10, id=None):
     """
     given a field in a task, attempts to find the lookup table or function associated
     with that field and runs a full-text query against it to locate the values and
@@ -208,14 +206,15 @@ def lookup(workflow_id, field_id, query, limit):
     Tries to be fast, but first runs will be very slow.
     """
     workflow = session.query(WorkflowModel).filter(WorkflowModel.id == workflow_id).first()
-    lookup_data = LookupService.lookup(workflow, field_id, query, limit)
+    lookup_data = LookupService.lookup(workflow, field_id, query, limit, id)
     return LookupDataSchema(many=True).dump(lookup_data)
 
 
 def __get_user_uid(user_uid):
     if 'user' in g:
         if g.user.uid not in app.config['ADMIN_UIDS'] and user_uid != g.user.uid:
-            raise ApiError("permission_denied", "You are not authorized to edit the task data for this workflow.", status_code=403)
+            raise ApiError("permission_denied", "You are not authorized to edit the task data for this workflow.",
+                           status_code=403)
         else:
             return g.user.uid
 

crc/models/file.py

@@ -153,6 +153,7 @@ class LookupFileModel(db.Model):
     file_data_model_id = db.Column(db.Integer, db.ForeignKey('file_data.id'))
     dependencies = db.relationship("LookupDataModel", lazy="select", backref="lookup_file_model", cascade="all, delete, delete-orphan")
 
+
 class LookupDataModel(db.Model):
     __tablename__ = 'lookup_data'
     id = db.Column(db.Integer, primary_key=True)

crc/services/lookup_service.py

@@ -1,7 +1,8 @@
 import logging
 import re
 
-from pandas import ExcelFile
+import pandas as pd
+from pandas import ExcelFile, np
 from sqlalchemy import func, desc
 from sqlalchemy.sql.functions import GenericFunction
 
@@ -62,14 +63,14 @@ class LookupService(object):
         return lookup_model
 
     @staticmethod
-    def lookup(workflow, field_id, query, limit):
+    def lookup(workflow, field_id, query, limit, id = None):
 
         lookup_model = LookupService.__get_lookup_model(workflow, field_id)
 
         if lookup_model.is_ldap:
             return LookupService._run_ldap_query(query, limit)
         else:
-            return LookupService._run_lookup_query(lookup_model, query, limit)
+            return LookupService._run_lookup_query(lookup_model, query, limit, id)
 
 
 
@@ -130,6 +131,7 @@ class LookupService(object):
           changed.  """
         xls = ExcelFile(data_model.data)
         df = xls.parse(xls.sheet_names[0])  # Currently we only look at the fist sheet.
+        df = pd.DataFrame(df).replace({np.nan: None})
         if value_column not in df:
             raise ApiError("invalid_emum",
                            "The file %s does not contain a column named % s" % (data_model.file_model.name,
@@ -149,16 +151,22 @@ class LookupService(object):
             lookup_data = LookupDataModel(lookup_file_model=lookup_model,
                                           value=row[value_column],
                                           label=row[label_column],
-                                          data=row.to_json())
+                                          data=row.to_dict())
             db.session.add(lookup_data)
         db.session.commit()
         return lookup_model
 
     @staticmethod
-    def _run_lookup_query(lookup_file_model, query, limit):
+    def _run_lookup_query(lookup_file_model, query, limit, lookup_id):
         db_query = LookupDataModel.query.filter(LookupDataModel.lookup_file_model == lookup_file_model)
-
-        query = re.sub('[^A-Za-z0-9 ]+', '', query)
+        if lookup_id is not None:  # Then just find the model with that id.
+            db_query = db_query.filter(LookupDataModel.id == lookup_id)
+        else:
+            # Build a full text query that takes all the terms provided and executes each term as a prefix query, and
+            # OR's those queries together.  The order of the results is handled as a standard "Like" on the original
+            # string which seems to work intuitively for most entries.
+            query = re.sub('[^A-Za-z0-9 ]+', '', query)  # Strip out non ascii characters.
+            query = re.sub(' {2,}', ' ', query)  # Convert multiple spaces to just one space, as we split on spaces.
             print("Query: " + query)
             query = query.strip()
             if len(query) > 0:
@@ -176,12 +184,7 @@ class LookupService(object):
                 # But hackishly order by like, which does a good job of
                 # pulling more relevant matches to the top.
                 db_query = db_query.order_by(desc(LookupDataModel.label.like("%" + query + "%")))
-            #ORDER BY name LIKE concat('%', ticker, '%') desc, rank DESC
 
-#            db_query = db_query.order_by(desc(func.full_text.ts_rank(
-#                func.to_tsvector(LookupDataModel.label),
-#                func.to_tsquery(query))))
-        from sqlalchemy.dialects import postgresql
         logging.getLogger('sqlalchemy.engine').setLevel(logging.INFO)
         result = db_query.limit(limit).all()
         logging.getLogger('sqlalchemy.engine').setLevel(logging.ERROR)

tests/test_lookup_service.py

@@ -61,6 +61,15 @@ class TestLookupService(BaseTest):
         lookup_data = session.query(LookupDataModel).filter(LookupDataModel.lookup_file_model == lookup_record).all()
         self.assertEqual(4, len(lookup_data))
 
+    def test_lookup_based_on_id(self):
+        spec = BaseTest.load_test_spec('enum_options_from_file')
+        workflow = self.create_workflow('enum_options_from_file')
+        processor = WorkflowProcessor(workflow)
+        processor.do_engine_steps()
+        results = LookupService.lookup(workflow, "AllTheNames", "", id=1, limit=10)
+        self.assertEqual(1, len(results), "It is possible to find an item based on the id, rather than as a search")
+        self.assertIsNotNone(results[0].data)
+        self.assertIsInstance(results[0].data, dict)
 
 
     def test_some_full_text_queries(self):
@@ -114,6 +123,9 @@ class TestLookupService(BaseTest):
         results = LookupService.lookup(workflow, "AllTheNames", "1 (!-Something", limit=10)
         self.assertEqual("1 Something", results[0].label, "special characters don't flake out")
 
+        results = LookupService.lookup(workflow, "AllTheNames", "1  Something", limit=10)
+        self.assertEqual("1 Something", results[0].label, "double spaces should not be an issue.")
+
 
 
 # 1018	10000 Something	Industry

tests/test_tasks_api.py

@@ -343,6 +343,30 @@ class TestTasksApi(BaseTest):
         results = json.loads(rv.get_data(as_text=True))
         self.assertEqual(5, len(results))
 
+    def test_lookup_endpoint_for_task_field_using_lookup_entry_id(self):
+        self.load_example_data()
+        workflow = self.create_workflow('enum_options_with_search')
+        # get the first form in the two form workflow.
+        workflow = self.get_workflow_api(workflow)
+        task = workflow.next_task
+        field_id = task.form['fields'][0]['id']
+        rv = self.app.get('/v1.0/workflow/%i/lookup/%s?query=%s&limit=5' %
+                          (workflow.id, field_id, 'c'), # All records with a word that starts with 'c'
+                          headers=self.logged_in_headers(),
+                          content_type="application/json")
+        self.assert_success(rv)
+        results = json.loads(rv.get_data(as_text=True))
+        self.assertEqual(5, len(results))
+        rv = self.app.get('/v1.0/workflow/%i/lookup/%s?id=%i' %
+                          (workflow.id, field_id, results[0]['id']), # All records with a word that starts with 'c'
+                          headers=self.logged_in_headers(),
+                          content_type="application/json")
+        results = json.loads(rv.get_data(as_text=True))
+        self.assertEqual(1, len(results))
+        self.assertIsInstance(results[0]['data'], dict)
+
+
+
     def test_lookup_endpoint_for_task_ldap_field_lookup(self):
         self.load_example_data()
         workflow = self.create_workflow('ldap_lookup')