'tools'

Data/veda_content_details.csv

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:ede28ae4fb8f2425f428e6e4a35aa1871e1076560e368154f622a2fa189277c3
+size 13147788

Tools.py

@@ -20,6 +20,13 @@ VEDAMANTRA_CSV_PATH = "Data/veda_content_modified_v3.csv"
 PADA_CSV_PATH = "Data/term_data_processed_v2.csv"
 
 class ScriptureDescriptionToolSpec(BaseToolSpec):
+    '''
+    To obtain the description of the vedic scriptures, mandalas, kandahas, shukta, Anuvaka etc.
+    Sample Query:
+    1. Describe RigVeda?
+    2. What is the summary of the first mandala from RigVeda?
+    3. What is the brief description of the 4th Shukta of the 2nd Kandah from AtharvaVeda? 
+    '''
     spec_functions = ["get_description"]
 
     def __init__(self):
@@ -54,14 +61,19 @@ class ScriptureDescriptionToolSpec(BaseToolSpec):
 
 class MantraToolSpec(BaseToolSpec):
     '''
-    To obtain the vedamantra details such as vedamantra, padapatha, devata, chandah, rishi etc of vedamantras (or mantras or hyms) from all vedas (RigVeda, AtharvaVeda, SamaVeda, KrishnaYajurVeda, and ShuklaYajurVeda) using the function 
-    `get_vedamantra_details`. The mantra summary like anvaya, mantraVishaya, bhavartha/meaning (adhibautic, ahyatmic, adhidaivic), purpose, usage, tippani of vedamantra accessible using the function 'get_vedamantra_summary'
-    Sample Query:
-    1. What is the vedamantra of the mantra from Rigveda, first mandala, first shukta, and first mantra?
-    2. What is the devata of the vedamantra from Rigveda, first mandala, first shukta, and first mantra?
-    3. What is the meaning of the vedamantra from Rigveda, first mandala, first shukta, and first mantra written by Tulsi Ram?
-    4. What is the (adhibautic) meaning of the vedamantra from RigVeda, first mandala, first shukta, and first mantra?
-    5. What is the mantraVishaya of the vedamantra from RigVeda, first mandala, first shukta, and first mantra?
+    You can retrieve detailed information about Vedic mantras, including details such as vedamantra, padapatha, devata, chandah, 
+    and rishi, from all Vedas (RigVeda, AtharvaVeda, SamaVeda, KrishnaYajurVeda, and ShuklaYajurVeda) using the function 
+    `get_vedamantra_details`. Additionally, you can access a summary of the mantra, including anvaya, mantraVishaya, and 
+    adhibautic (or adhyatmic or adhidyvic) meaning (or bhavartha), purpose, usage, and tippani of the vedamantra with the function 
+    `get_vedamantra_summary`.
+
+    Here's a sample query format:
+    
+    1. Obtain the vedamantra of the mantra 1.1.1.1?
+    2. Retrieve the devata of the vedamantra from Rigveda, first mandala, first shukta, and first mantra.
+    3. Provide the meaning of the vedamantra from Rigveda, first mandala, first shukta, and first mantra written by Tulsi Ram.
+    4. Explain the adhibautic meaning of the first mantra from RigVeda, first mandala, and first shukta.
+    5. Identify the mantraVishaya of the vedamantra from RigVeda, first mandala, first shukta, and first mantra.
     '''
     spec_functions = ["get_vedamantra_details", "get_vedamantra_summary"]
 
@@ -76,31 +88,34 @@ class MantraToolSpec(BaseToolSpec):
         except Exception as e:
             raise ValueError(f"Failed to get mantra details: {e}")
 
-    def _query_db(self, conditions):
+    def _get_mantra_details_by_scripture(self, scripture_name=None, **kwargs):
         try:
-            result = self.df_vedamantra[conditions]['mantra_number'].values
-            if len(result) == 0:
-                raise ValueError("Mantra not found.")
-            return result[0]
+            if scripture_name:
+                condition = (self.df_vedamantra['scripture_name'].str.lower() == scripture_name.lower())
+            
+            for key, value in kwargs.items():
+                condition &= (self.df_vedamantra[key] == value)
+            filtered_df = self.df_vedamantra[condition]
+            if not filtered_df.empty:
+                return filtered_df
+            else:
+                return None
         except Exception as e:
-            raise ValueError("Failed to query database.")
+            logging.error(f"Error in _get_pada_details_by_scripture: {e}")
 
-    def _get_query_conditions(self, scripture_name, **kwargs):
-        conditions = (self.df_vedamantra['scripture_name'].str.lower() == scripture_name.lower())
-        for key, value in kwargs.items():
-            conditions &= (self.df_vedamantra[key] == value)
-        return conditions
 
     def _get_mantra_id(self, scripture_name, **kwargs):
-        conditions = self._get_query_conditions(scripture_name, **kwargs)
-        return self._query_db(conditions)
+        filtered_df = self._get_mantra_details_by_scripture(scripture_name, **kwargs)
+        mantraID = filtered_df['mantra_number']
+        return mantraID.values[0]
 
-    def get_vedamantra_details(self, mantraid=None, scripture_name=None, **kwargs):
+    def get_vedamantra_details(self, mantraid=None, scripture_name=None,**kwargs):
         try:
             if mantraid:
                 query = f"SELECT mantra_json FROM veda_content WHERE mantra_number = '{mantraid}'"
             else:
                 mantra_id = self._get_mantra_id(scripture_name, **kwargs)
+                #print(mantra_id)
                 query = f"SELECT mantra_json FROM veda_content WHERE mantra_number = '{mantra_id}'"
             return self._get_mantra_details(query)
         except Exception as e:
@@ -112,6 +127,7 @@ class MantraToolSpec(BaseToolSpec):
                 query = f"SELECT mantra_json FROM veda_content WHERE mantra_number = '{mantraid}'"
             else:
                 mantra_id = self._get_mantra_id(scripture_name, **kwargs)
+                print(mantra_id)
                 query = f"SELECT mantra_json FROM veda_content WHERE mantra_number = '{mantra_id}'"
             json_dict = get_details_mantra_json(query)
             mantra_summary = json_dict['mantraSummary']['language']
@@ -128,11 +144,11 @@ class PadaToolSpec(BaseToolSpec):
     '''
     Purpose: To obtains a complete or meaningful meaning of a word or pada based on context information.
     1. The function 'get_meaning_pada' used to get all the possible meanings of the pada based on the given information.
-    2. The function 'get_adibauatic_adidaivic_adyatmic_meaning_of_pada' used to get the adibhautic, adidaivic and sdyatmic meaning of a word based on context information.\
+    2. The function 'get_adibauatic_adidaivic_adhyatmic_meaning_of_pada' used to get the adibhautic, adidaivic and sdyatmic meaning of a word based on context information.\
     Use the context to generate a meaningful meaning of the pada in the vedamantra.
     Sample query:
     1. What is the meaning of the word apratidhṛṣṭa-śavasam?
-    2. What is the adibauatic meaning of the word apratidhṛṣṭa-śavasam?
+    2. What is the adibauatic meaning of the word agnim in the context of the vedamantra from Rigveda, first mandala, first shukta, and first mantra?
     3. Whats the adidaivic meaning of the word apratidhṛṣṭa-śavasam?
     4. What is the adyatmic meaning of the word apratidhṛṣṭa-śavasam?
     '''
@@ -144,26 +160,34 @@ class PadaToolSpec(BaseToolSpec):
         self.df_vedic_content = pd.read_csv(VEDAMANTRA_CSV_PATH,encoding = 'utf-8')
 
     def _get_pada_details_by_scripture(self, pada, scripture_name=None, **kwargs):
-        pada = iast_process(pada)
         try:
+            pada = iast_process(pada)
             condition = (self.df_terms['Pada'] == pada)
+
             if scripture_name:
                 condition &= (self.df_terms['scripture_name'].str.lower() == scripture_name.lower())
+            
             for key, value in kwargs.items():
-                if value is not None:
-                    condition &= (self.df_terms[key] == value)
+                condition &= (self.df_terms[key] == value)
+                
             filtered_df = self.df_terms[condition]
-            return filtered_df if not filtered_df.empty else None
+            
+            if not filtered_df.empty:
+                return filtered_df
+            else:
+                return None
+        
+        except KeyError as ke:
+            logging.error(f"KeyError in _get_pada_details_by_scripture: {ke}")
         except Exception as e:
             logging.error(f"Error in _get_pada_details_by_scripture: {e}")
-            return None
+        
+        return None
         
     def _get_vedamantra_meaning(self, mantraID, MahatmaName=None):
         try:
             query = f"SELECT mantra_json FROM veda_content WHERE mantra_number = '{mantraID}'"
-            print(query)
             jsonDict = get_details_mantra_json(query)
-            print(jsonDict)
             mantraSummary = jsonDict['mantraSummary']['language']
             if MahatmaName is not None:
                 filtered_summary = [data_dict for data_dict in mantraSummary if data_dict.get('mahatma', {}).get('mahatmaName') == MahatmaName]
@@ -219,7 +243,10 @@ class PadaToolSpec(BaseToolSpec):
             return {"error": f"Required meaning associated with pada is not available. {e}"}    
     
 
-    def get_adibauatic_adidaivic_adhyatmic_meaning_of_pada(self, pada, mantraid=None, scripture_name=None, **kwargs):
+    def get_adibauatic_adidaivic_adhyatmic_meaning_of_pada(self, pada, mantraid=None, scripture_name=None, 
+                                                           KandahNumber=None,MandalaNumber=None, ArchikahNumber=None, 
+                                                           ShuktaNumber=None, PrapatakNumber=None, MantraNumber=None,
+                                                           AnuvakNumber=None, AdhyayaNumber=None, **kwargs):
         pada = iast_process(pada)
         try:
             if mantraid:

app.py

@@ -73,12 +73,13 @@ storage_context_pine = StorageContext.from_defaults(vector_store=vector_store_pi
 index_store = VectorStoreIndex.from_vector_store(vector_store_pine,storage_context=storage_context_pine)
 query_engine_vector = index_store.as_query_engine(similarity_top_k=10,vector_store_query_mode ='hybrid',alpha=0.6,inlcude_metadata = True)
 
-VEDAMANTRA_CSV_PATH = "Data/veda_content_modified_v3.csv"
+VEDAMANTRA_CSV_PATH = "Data/veda_content_modified_v5.csv"
 PADA_CSV_PATH = "Data/term_data_processed_v2.csv"
+VEDACONTENT_CSV_PATH = "Data/veda_content_details.csv"
 
 #pandas Engine
-df_veda_details = pd.read_csv(VEDAMANTRA_CSV_PATH,encoding='utf-8')
-df_pada_details = pd.read_csv(PADA_CSV_PATH,encoding='utf-8')
+df_veda_details = pd.read_csv(VEDACONTENT_CSV_PATH,encoding='utf-8-sig')
+df_pada_details = pd.read_csv(PADA_CSV_PATH,encoding='utf-8-sig')
 query_engine_veda = PandasQueryEngine(df=df_veda_details)
 query_engine_pada = PandasQueryEngine(df=df_pada_details)
 
@@ -146,16 +147,17 @@ tools = [*mantra_tools,*pada_tools,*description_tools,*query_engine_tools]
 
 # context
 context = """
-  You are an expert on Vedas and related scriptures.\
-  Your role is to respond to questions about vedic scriptures and associated information based on available sources.\
+  You are an expert on Vedas and related scriptures.
+  Your role is to respond to questions about vedic scriptures (RigVeda, AtharvaVeda, SamaVeda, ShuklaYajurVeda, and KrishnaYajurVeda) and associated information based on available sources.\
   For every query, you must use tool first. If the input args, kwargs and tools for the given query is same as in the history or retrieved context is sufficient, then use the history as context.
-  Please provide well-informed answers. Don't use prior knowledge. If you are not sure about the answer, you can say that you don't have sufficient information.
+  Please provide well-informed answers. If the context or history is not sufficient, you can say that you don't have sufficient information. Don't use prior knowledge. 
+  If your response is based on "Implicit" thought then you can say that you don't have sufficient information. Don't use prior knowledge.
   Also, provide three follow-up questions based on the input query and the context in the following format.
   *****
-  You may also try the following questions:
-  1. Question1
-  2. Question2
-  3. Question3
+  You may also try the following questions: 
+  1. <i>Question1</i>
+  2. <i>Question2</i>
+  3. <i>Question3</i>
 """
 
 # Function to create ReActAgent instance (change it based on your initialization logic)