Twitter Feature (#134)

* .

* twitter feature update

* Key validation and operation

collector/README.md

@@ -48,4 +48,15 @@ Now uploads from the frontend will be processed as if you ran the `watch.py` scr
   - ![GCP Project Bar](../images/gcp-project-bar.png)
 - [Enable YouTube Data APIV3](https://console.cloud.google.com/apis/library/youtube.googleapis.com)
 - Once enabled generate a Credential key for this API
-- Paste your key after `GOOGLE_APIS_KEY=` in your `collector/.env` file.
+- Paste your key after `GOOGLE_APIS_KEY=` in your `collector/.env` file.
\ No newline at end of file
+
+### Using ther Twitter API
+***required to get data form twitter with tweepy**
+- Go to https://developer.twitter.com/en/portal/dashboard with your twitter account
+- Create a new Project App
+  - Get your 4 keys and place them in your `collector.env` file
+  * TW_CONSUMER_KEY
+  * TW_CONSUMER_SECRET
+  * TW_ACCESS_TOKEN
+  * TW_ACCESS_TOKEN_SECRET
+  populate the .env with the values

collector/main.py

@@ -6,6 +6,7 @@ from scripts.substack import substack
 from scripts.medium import medium
 from scripts.gitbook import gitbook
 from scripts.sitemap import sitemap
+from scripts.twitter import twitter 
 
 def main():
   if os.name == 'nt':
@@ -15,7 +16,8 @@ def main():
       '3': 'Substack',
       '4': 'Medium',
       '5': 'Gitbook',
-      '6': 'Sitemap',
+      '6': 'Twitter',
+      '7': 'Sitemap',
     }
     print("There are options for data collection to make this easier for you.\nType the number of the method you wish to execute.")
     print("1. YouTube Channel\n2. Article or Blog Link (Single)\n3. Substack\n4. Medium\n\n[In development]:\nTwitter\n\n")
@@ -30,7 +32,7 @@ def main():
         {"name": "Medium", "value": "Medium"},
         {"name": "Article or Blog Link(s)", "value": "Article or Blog Link(s)"},
         {"name": "Gitbook", "value": "Gitbook"},
-        {"name": "Twitter", "value": "Twitter", "disabled": "Needs PR"},
+        {"name": "Twitter", "value": "Twitter"},
         {"name": "Sitemap", "value": "Sitemap"},
         {"name": "Abort", "value": "Abort"},
       ],
@@ -71,8 +73,10 @@ def main():
     exit(0)
   if method == 'Sitemap':
     sitemap()
+    exit(0)   
+  if method == 'Twitter':
+    twitter()
     exit(0)
-
   print("Selection was not valid.")
   exit(1)
 

collector/requirements.txt

@@ -109,4 +109,5 @@ xlrd==2.0.1
 XlsxWriter==3.1.2
 yarl==1.9.2
 youtube-transcript-api==0.6.0
-zipp==3.15.0
+zipp==3.15.0
\ No newline at end of file
+tweepy==4.14.0 

collector/scripts/twitter.py

+"""
+Tweepy implementation of twitter reader. Requires the 4 twitter keys to operate.
+"""
+
+import tweepy
+import os, time
+import pandas as pd
+import json
+from .utils import tokenize, ada_v2_cost
+
+def twitter():
+    #get user and number of tweets to read
+    username = input("user timeline to read from (blank to ignore): ")
+    searchQuery = input("Search term, or leave blank to get user tweets (blank to ignore): ")
+    tweetCount = input("Gather the last number of tweets: ")
+    
+    # Read your API keys to call the API.
+    consumer_key = os.environ.get("TW_CONSUMER_KEY")
+    consumer_secret = os.environ.get("TW_CONSUMER_SECRET")
+    access_token = os.environ.get("TW_ACCESS_TOKEN")
+    access_token_secret = os.environ.get("TW_ACCESS_TOKEN_SECRET")
+
+    # Check if any of the required environment variables is missing.
+    if not consumer_key or not consumer_secret or not access_token or not access_token_secret:
+        raise EnvironmentError("One of the twitter API environment variables are missing.")
+
+    # Pass in our twitter API authentication key
+    auth = tweepy.OAuth1UserHandler(
+        consumer_key, consumer_secret, access_token, access_token_secret
+    )
+
+    # Instantiate the tweepy API
+    api = tweepy.API(auth, wait_on_rate_limit=True)
+
+    try:
+        if (searchQuery == ''):
+            tweets = api.user_timeline(screen_name=username, tweet_mode = 'extended', count=tweetCount)
+        else:
+            tweets = api.search_tweets(q=searchQuery, tweet_mode = 'extended', count=tweetCount)
+
+        # Pulling Some attributes from the tweet
+        attributes_container = [
+            [tweet.id, tweet.user.screen_name, tweet.created_at, tweet.favorite_count, tweet.source, tweet.full_text]
+            for tweet in tweets
+        ]
+        
+        # Creation of column list to rename the columns in the dataframe
+        columns = ["id", "Screen Name", "Date Created", "Number of Likes", "Source of Tweet", "Tweet"]
+
+        # Creation of Dataframe
+        tweets_df = pd.DataFrame(attributes_container, columns=columns)
+
+        totalTokens = 0
+        for index, row in tweets_df.iterrows():
+            meta_link = twitter_meta(row, True)
+            output_filename = f"twitter-{username}-{row['Date Created']}.json"
+            output_path = f"./outputs/twitter-logs"
+
+            transaction_output_filename = f"tweet-{username}-{row['id']}.json"
+            transaction_output_dir = f"../server/storage/documents/twitter-{username}"
+
+            if not os.path.isdir(output_path):
+                os.makedirs(output_path)
+
+            if not os.path.isdir(transaction_output_dir):
+                os.makedirs(transaction_output_dir)
+
+            full_text = twitter_meta(row)
+            tokenCount = len(tokenize(full_text))
+            meta_link['pageContent'] = full_text
+            meta_link['token_count_estimate'] = tokenCount
+            totalTokens += tokenCount
+
+            with open(f"{output_path}/{output_filename}", 'w', encoding='utf-8') as file:
+                json.dump(meta_link, file, ensure_ascii=True, indent=4)
+
+            with open(f"{transaction_output_dir}/{transaction_output_filename}", 'w', encoding='utf-8') as file:
+                json.dump(meta_link, file, ensure_ascii=True, indent=4)
+            
+            # print(f"{transaction_output_dir}/{transaction_output_filename}")
+
+        print(f"{tokenCount} tokens written over {tweets_df.shape[0]} records.")
+
+    except BaseException as e:
+        print("Status Failed: ", str(e))
+        time.sleep(3)
+
+
+def twitter_meta(row, metadata_only = False):
+  # Note that /anyuser is a known twitter hack for not knowing the user's handle
+  # https://stackoverflow.com/questions/897107/can-i-fetch-the-tweet-from-twitter-if-i-know-the-tweets-id
+  url = f"http://twitter.com/anyuser/status/{row['id']}"
+  title = f"Tweet {row['id']}"
+  meta = {
+    'url': url,
+    'title':  title,
+    'description': 'Tweet from ' + row["Screen Name"],
+    'published': row["Date Created"].strftime('%Y-%m-%d %H:%M:%S'),
+    'wordCount': len(row["Tweet"]),
+  }
+  return "Tweet JSON Metadata:\n"+json.dumps(meta)+"\n\n\nText Content:\n" + row["Tweet"] if metadata_only == False else meta