latest

app.py

@@ -11,6 +11,7 @@ from requests.exceptions import ConnectionError, Timeout, TooManyRedirects
 import plotly.express as px 
 import json
 import networkx as nx 
+import time 
 
 # ------------------------ Environment Variables --------------------------
 
@@ -67,6 +68,15 @@ def load_influencers():
     except Exception as e:
         st.error(f"Error loading influencers: {e}")
         return {}
+    
+# Load influencers
+def load_tokens():
+    try:
+        with open("ressources/dict_tokens_addr.json", "r") as file:
+            return json.load(file)
+    except Exception as e:
+        st.error(f"Error loading influencers: {e}")
+        return {}
 
 
 def create_dominance_pie_chart(df_global_metrics):
@@ -260,6 +270,40 @@ def create_network_graph(df, influencer_name, influencer_address):
 
     return fig, top_interactions
 
+# Function to read the last update time from a file
+def read_last_update_time():
+    try:
+        with open("ressources/last_update.txt", "r") as file:
+            return file.read()
+    except FileNotFoundError:
+        return ""
+
+# Initialize last_update_time using the function
+st.session_state.last_update_time = read_last_update_time()
+
+# Update Data Button with Timer Decorator
+def update_data_with_timer():
+    # Execute the scripts in the 'utils' folder to update data
+    subprocess.call(["python", "utils/scrap_etherscan.py"])
+    subprocess.call(["python", "utils/scrap_cmc.py"])
+    subprocess.call(["python", "utils/scrap_influencers_balance.py"])
+    subprocess.call(["python", "utils/scrap_cmc_global_metrics.py"])
+    subprocess.call(["python", "utils/scrap_greed_fear_index.py"])
+    subprocess.call(["python", "utils/extract_tokens_balances.py"])
+    # Update the last_update_time variable
+    last_update_time = time.strftime("%Y-%m-%d %H:%M:%S")
+    st.session_state.last_update_time = last_update_time
+    
+    # Write the last update time to the file
+    with open("ressources/last_update.txt", "w") as file:
+        file.write(last_update_time)
+
+# Update Data Button with Timer Decorator
+def update_interactions():
+    # Execute the scripts in the 'utils' folder to update data
+    subprocess.call(["python", "utils/extract_wallet_interactions.py"])
+    # Update the last_update_time variable
+    
 
 #-------------------------------------scheduler ----------------------------------
 
@@ -315,16 +359,12 @@ def create_network_graph(df, influencer_name, influencer_address):
 # Set the title and other page configurations
 st.title('Crypto Analysis')
 st.write("Welcome to the Crypto Analysis app. Please note that data is not updated automatically due to API plan limitations.")
-# Update Data Button
-if st.button("Scrap new data"):
-    # Execute the scripts in the 'utils' folder to update data
-    subprocess.call(["python", "utils/scrap_etherscan.py"])
-    subprocess.call(["python", "utils/scrap_cmc.py"])
-    subprocess.call(["python", "utils/scrap_influencers_balance.py"])
-    subprocess.call(["python", "utils/scrap_cmc_global_metrics.py"])
-    subprocess.call(["python", "utils/scrap_greed_fear_index.py"])
-    subprocess.call(["python", "utils/extract_tokens_balances.py"])
-    st.success("Data updated successfully!")
+# Display the last update time
+st.write(f"Time of last update: {st.session_state.last_update_time}")
+
+# Update Data Button with Timer Decorator
+if st.button("Scrap new data", on_click=update_data_with_timer):
+    st.success("Data updated.")
 
 st.header("Global Cryptocurrency Market Metrics")
 # Create two columns for the two plots
@@ -391,13 +431,6 @@ with col2:
         autosize=False,
         width=300,
         height=300,
-        margin=dict(
-            l=50,
-            r=50,
-            b=100,
-            t=100,
-            pad=4
-        ),
         #paper_bgcolor="LightSteelBlue",
     )
     st.plotly_chart(fig)
@@ -407,9 +440,30 @@ with col2:
 
 st.header("Deep Dive into Specific Coins")
 col1, col2 = st.columns(2)
+tokens = load_tokens()
+selected_token = st.selectbox('Select Token', df_etherscan['tokenSymbol'].unique(), index=0)
+token_input = st.text_input("Add new token", placeholder="e.g., APE:0x123...ABC")
+if st.button("Add Token"):
+    if ":" in token_input:
+        try:
+            new_token_name, new_token_addr = token_input.split(":")
+            tokens[new_token_name.strip()] = new_token_addr.strip()
+            with open("ressources/dict_tokens_addr.json", "w") as file:
+                json.dump(tokens, file, indent=4)
+            st.success(f"Token {new_token_name} added")
+            subprocess.call(["python", "utils/scrap_etherscan.py"])
+            df_etherscan = pd.DataFrame()
+            for filename in os.listdir('output'):
+                if filename.endswith('.csv') and 'transactions_' in filename:
+                    df_temp = safe_read_csv(os.path.join('output', filename), sep=',')
+                    df_etherscan = pd.concat([df_etherscan, df_temp], ignore_index=True)
+
+        except ValueError:
+            st.error("Invalid format. Please enter as 'name:address'")
+    else:
+        st.error("Please enter the influencer details as 'name:address'")
 with col1:
-    # etherscan
-    selected_token = st.selectbox('Select Token', df_etherscan['tokenSymbol'].unique(), index=0)
+    
     # Filter the data based on the selected token
     filtered_df = df_etherscan[df_etherscan['tokenSymbol'] == selected_token]
     # Plot the token volume over time
@@ -438,9 +492,6 @@ with col1:
         )
     )
 with col2:
-    # Token selection
-    selected_token = st.selectbox('Select a Token', df_etherscan['tokenSymbol'].unique())
-
     # Processing data
     top_buyers_df = get_top_buyers(df_etherscan, selected_token)
 
@@ -459,30 +510,35 @@ with col2:
 st.header("Influencers' Token Balances")
 token_balances_df = load_token_balances()
 col1, col2 = st.columns(2)
+influencers = load_influencers()
+influencer_input = st.text_input("Add a new influencer", placeholder="e.g., alice:0x123...ABC")
+if st.button("Add Influencer"):
+    if ":" in influencer_input:
+        try:
+            new_influencer_name, new_influencer_addr = influencer_input.split(":")
+            influencers[new_influencer_name.strip()] = new_influencer_addr.strip()
+            with open("ressources/dict_influencers_addr.json", "w") as file:
+                json.dump(influencers, file, indent=4)
+            st.success(f"Influencer {new_influencer_name} added")
+            subprocess.call(["python", "utils/scrap_influencers_balance.py"])
+            subprocess.call(["python", "utils/extract_tokens_balances.py"])
+            token_balances_df = load_token_balances()
+        except ValueError:
+            st.error("Invalid format. Please enter as 'name:address'")
+    else:
+        st.error("Please enter the influencer details as 'name:address'")
+
 with col1:
     if not token_balances_df.empty:
         token_balance_fig = create_token_balance_bar_plot(token_balances_df)
+        token_balance_fig.update_layout(
+            autosize=False,
+            width=300,
+            height=400,)
         st.plotly_chart(token_balance_fig)
     else:
         st.write("No token balance data available.")
 with col2:
-    influencers = load_influencers()
-    with st.container():
-        influencer_input = st.text_input("Follow this name:address", placeholder="e.g., alice:0x123...ABC")
-        if st.button("Add Influencer"):
-            if ":" in influencer_input:
-                try:
-                    new_influencer_name, new_influencer_addr = influencer_input.split(":")
-                    influencers[new_influencer_name.strip()] = new_influencer_addr.strip()
-                    with open("ressources/dict_influencers_addr.json", "w") as file:
-                        json.dump(influencers, file, indent=4)
-                    st.success(f"Influencer {new_influencer_name} added")
-                    subprocess.call(["python", "utils/scrap_influencers_balance.py"])
-                    st.success("Balance updated")
-                except ValueError:
-                    st.error("Invalid format. Please enter as 'name:address'")
-            else:
-                st.error("Please enter the influencer details as 'name:address'")
     # Load Ether balances
     try:
         df_balances = pd.read_csv("output/influencers_balances.csv")
@@ -524,6 +580,9 @@ with col2:
 
 # In the Streamlit app
 st.header("Wallet Interactions Network Graph")
+# Update Data Button with Timer Decorator
+if st.button("Update interactions", on_click=update_interactions):
+    st.success("Interactions data updated.")
 selected_influencer = st.selectbox("Select an Influencer", list(influencers.keys()))
 # Load interactions data for the selected influencer
 interactions_df, influencer_address = load_influencer_interactions(selected_influencer)

logs/scrapping/cmc_global_metrics.log

@@ -61,3 +61,10 @@
 2023-11-28 13:10:39,099 [INFO] - Global metrics data fetched successfully.
 2023-11-28 13:12:08,480 [INFO] - Global metrics data fetched successfully.
 2023-11-28 13:22:26,139 [INFO] - Global metrics data fetched successfully.
+2023-11-28 13:53:49,553 [INFO] - Global metrics data fetched successfully.
+2023-11-28 13:56:00,719 [INFO] - Global metrics data fetched successfully.
+2023-11-28 13:58:18,198 [INFO] - Global metrics data fetched successfully.
+2023-11-28 14:04:24,462 [INFO] - Global metrics data fetched successfully.
+2023-11-28 14:35:42,572 [INFO] - Global metrics data fetched successfully.
+2023-11-28 14:37:59,798 [INFO] - Global metrics data fetched successfully.
+2023-11-28 14:45:54,016 [INFO] - Global metrics data fetched successfully.

logs/scrapping/cmc_scrapping.log

@@ -554,3 +554,19 @@
 2023-11-28 13:16:57,351 [INFO] - Function fetch_and_process_cmc_data executed in 0.27 seconds
 2023-11-28 13:22:25,021 [INFO] - CMC data script execution completed.
 2023-11-28 13:22:25,022 [INFO] - Function fetch_and_process_cmc_data executed in 0.26 seconds
+2023-11-28 13:53:48,481 [INFO] - CMC data script execution completed.
+2023-11-28 13:53:48,483 [INFO] - Function fetch_and_process_cmc_data executed in 0.25 seconds
+2023-11-28 13:55:59,622 [INFO] - CMC data script execution completed.
+2023-11-28 13:55:59,623 [INFO] - Function fetch_and_process_cmc_data executed in 0.26 seconds
+2023-11-28 13:58:17,006 [INFO] - CMC data script execution completed.
+2023-11-28 13:58:17,007 [INFO] - Function fetch_and_process_cmc_data executed in 0.26 seconds
+2023-11-28 14:04:13,528 [INFO] - CMC data script execution completed.
+2023-11-28 14:04:13,530 [INFO] - Function fetch_and_process_cmc_data executed in 0.29 seconds
+2023-11-28 14:35:41,490 [INFO] - CMC data script execution completed.
+2023-11-28 14:35:41,491 [INFO] - Function fetch_and_process_cmc_data executed in 0.27 seconds
+2023-11-28 14:37:58,699 [INFO] - CMC data script execution completed.
+2023-11-28 14:37:58,700 [INFO] - Function fetch_and_process_cmc_data executed in 0.27 seconds
+2023-11-28 14:45:22,091 [INFO] - CMC data script execution completed.
+2023-11-28 14:45:22,092 [INFO] - Function fetch_and_process_cmc_data executed in 0.26 seconds
+2023-11-28 14:45:52,588 [INFO] - CMC data script execution completed.
+2023-11-28 14:45:52,589 [INFO] - Function fetch_and_process_cmc_data executed in 0.19 seconds

logs/scrapping/etherscan_scrap.log

@@ -405,3 +405,43 @@
 2023-11-28 13:22:24,524 [INFO] - Updated files: output/transactions_APE.csv, output/transactions_AXIE.csv, output/transactions_GALA.csv, output/transactions_MANA.csv, output/transactions_PET.csv, output/transactions_WEAOPON.csv, output/transactions_COPI.csv
 2023-11-28 13:22:24,524 [INFO] - Etherscan scraping script execution completed.
 2023-11-28 13:22:24,524 [INFO] - Function fetch_and_update_etherscan executed in 20.44 seconds
+2023-11-28 13:53:48,002 [INFO] - Created files: 
+2023-11-28 13:53:48,002 [INFO] - Updated files: output/transactions_APE.csv, output/transactions_AXIE.csv, output/transactions_GALA.csv, output/transactions_MANA.csv, output/transactions_PET.csv, output/transactions_WEAOPON.csv, output/transactions_COPI.csv
+2023-11-28 13:53:48,002 [INFO] - Etherscan scraping script execution completed.
+2023-11-28 13:53:48,002 [INFO] - Function fetch_and_update_etherscan executed in 29.06 seconds
+2023-11-28 13:55:59,137 [INFO] - Created files: 
+2023-11-28 13:55:59,137 [INFO] - Updated files: output/transactions_APE.csv, output/transactions_AXIE.csv, output/transactions_GALA.csv, output/transactions_MANA.csv, output/transactions_PET.csv, output/transactions_WEAOPON.csv, output/transactions_COPI.csv
+2023-11-28 13:55:59,137 [INFO] - Etherscan scraping script execution completed.
+2023-11-28 13:55:59,138 [INFO] - Function fetch_and_update_etherscan executed in 22.60 seconds
+2023-11-28 13:58:16,463 [INFO] - Created files: 
+2023-11-28 13:58:16,463 [INFO] - Updated files: output/transactions_APE.csv, output/transactions_AXIE.csv, output/transactions_GALA.csv, output/transactions_MANA.csv, output/transactions_PET.csv, output/transactions_WEAOPON.csv, output/transactions_COPI.csv
+2023-11-28 13:58:16,463 [INFO] - Etherscan scraping script execution completed.
+2023-11-28 13:58:16,463 [INFO] - Function fetch_and_update_etherscan executed in 21.41 seconds
+2023-11-28 14:04:12,954 [INFO] - Created files: 
+2023-11-28 14:04:12,954 [INFO] - Updated files: output/transactions_APE.csv, output/transactions_AXIE.csv, output/transactions_GALA.csv, output/transactions_MANA.csv, output/transactions_PET.csv, output/transactions_WEAOPON.csv, output/transactions_COPI.csv
+2023-11-28 14:04:12,955 [INFO] - Etherscan scraping script execution completed.
+2023-11-28 14:04:12,955 [INFO] - Function fetch_and_update_etherscan executed in 22.06 seconds
+2023-11-28 14:26:32,398 [INFO] - Created files: output/transactions_GRT.csv
+2023-11-28 14:26:32,398 [INFO] - Updated files: output/transactions_APE.csv, output/transactions_AXIE.csv, output/transactions_GALA.csv, output/transactions_MANA.csv, output/transactions_PET.csv, output/transactions_WEAOPON.csv, output/transactions_COPI.csv
+2023-11-28 14:26:32,398 [INFO] - Etherscan scraping script execution completed.
+2023-11-28 14:26:32,399 [INFO] - Function fetch_and_update_etherscan executed in 26.33 seconds
+2023-11-28 14:28:56,686 [INFO] - Created files: 
+2023-11-28 14:28:56,686 [INFO] - Updated files: output/transactions_APE.csv, output/transactions_AXIE.csv, output/transactions_GALA.csv, output/transactions_MANA.csv, output/transactions_PET.csv, output/transactions_WEAOPON.csv, output/transactions_COPI.csv, output/transactions_GRT.csv
+2023-11-28 14:28:56,686 [INFO] - Etherscan scraping script execution completed.
+2023-11-28 14:28:56,687 [INFO] - Function fetch_and_update_etherscan executed in 24.89 seconds
+2023-11-28 14:35:40,985 [INFO] - Created files: 
+2023-11-28 14:35:40,986 [INFO] - Updated files: output/transactions_APE.csv, output/transactions_AXIE.csv, output/transactions_GALA.csv, output/transactions_MANA.csv, output/transactions_PET.csv, output/transactions_WEAOPON.csv, output/transactions_COPI.csv, output/transactions_GRT.csv
+2023-11-28 14:35:40,986 [INFO] - Etherscan scraping script execution completed.
+2023-11-28 14:35:40,986 [INFO] - Function fetch_and_update_etherscan executed in 23.69 seconds
+2023-11-28 14:37:58,187 [INFO] - Created files: 
+2023-11-28 14:37:58,187 [INFO] - Updated files: output/transactions_APE.csv, output/transactions_AXIE.csv, output/transactions_GALA.csv, output/transactions_MANA.csv, output/transactions_PET.csv, output/transactions_WEAOPON.csv, output/transactions_COPI.csv, output/transactions_GRT.csv
+2023-11-28 14:37:58,187 [INFO] - Etherscan scraping script execution completed.
+2023-11-28 14:37:58,187 [INFO] - Function fetch_and_update_etherscan executed in 23.34 seconds
+2023-11-28 14:45:15,606 [INFO] - Created files: output/transactions_APE.csv, output/transactions_AXIE.csv, output/transactions_GALA.csv, output/transactions_MANA.csv, output/transactions_PET.csv, output/transactions_WEAOPON.csv, output/transactions_COPI.csv, output/transactions_GRT.csv
+2023-11-28 14:45:15,606 [INFO] - Updated files: 
+2023-11-28 14:45:15,606 [INFO] - Etherscan scraping script execution completed.
+2023-11-28 14:45:15,607 [INFO] - Function fetch_and_update_etherscan executed in 37.51 seconds
+2023-11-28 14:45:52,161 [INFO] - Created files: 
+2023-11-28 14:45:52,162 [INFO] - Updated files: output/transactions_APE.csv, output/transactions_AXIE.csv, output/transactions_GALA.csv, output/transactions_MANA.csv, output/transactions_PET.csv, output/transactions_WEAOPON.csv, output/transactions_COPI.csv, output/transactions_GRT.csv
+2023-11-28 14:45:52,162 [INFO] - Etherscan scraping script execution completed.
+2023-11-28 14:45:52,162 [INFO] - Function fetch_and_update_etherscan executed in 24.37 seconds

logs/scrapping/greed_fear_index.log

@@ -42,3 +42,10 @@
 2023-11-28 13:10:39,386 [INFO] - Greed and Fear index data fetched successfully.
 2023-11-28 13:12:08,710 [INFO] - Greed and Fear index data fetched successfully.
 2023-11-28 13:22:26,672 [INFO] - Greed and Fear index data fetched successfully.
+2023-11-28 13:53:50,274 [INFO] - Greed and Fear index data fetched successfully.
+2023-11-28 13:56:01,341 [INFO] - Greed and Fear index data fetched successfully.
+2023-11-28 13:58:18,987 [INFO] - Greed and Fear index data fetched successfully.
+2023-11-28 14:04:25,028 [INFO] - Greed and Fear index data fetched successfully.
+2023-11-28 14:35:43,096 [INFO] - Greed and Fear index data fetched successfully.
+2023-11-28 14:38:00,315 [INFO] - Greed and Fear index data fetched successfully.
+2023-11-28 14:45:54,578 [INFO] - Greed and Fear index data fetched successfully.

logs/streamlit/front.log

@@ -937,3 +937,129 @@
 2023-11-28 13:21:58,557 [INFO] - Balances uploaded, shape of dataframe is (3, 2)
 2023-11-28 13:22:03,724 [INFO] - Streamlit app has started
 2023-11-28 13:22:36,893 [INFO] - Balances uploaded, shape of dataframe is (3, 2)
+2023-11-28 13:34:58,370 [INFO] - Streamlit app has started
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+2023-11-28 13:41:35,932 [INFO] - Streamlit app has started
+2023-11-28 13:41:36,138 [INFO] - Balances uploaded, shape of dataframe is (3, 2)
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ressources/dict_influencers_addr.json

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 {
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 }

ressources/dict_tokens_addr.json

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+}

ressources/last_update.txt

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