def get_query(query_string, jjmin, jjmax, tweet_fields, nb_tweets=10):
"""Generate formatted query for Twitter v2 API
Args:
query_string (string): string used to build query
jjmin (int): min day offset from current day
jjmax (int): max day offset from current day
tweet_fields (string): fields required to query Tiwtter API
nb_tweets (int, optional): Max number of tweets to return. Defaults to 10.
Returns:
dict: formatted query
"""
current_date = pd.to_datetime('today')
start_time = (current_date + pd.Timedelta(jjmin, "D")).strftime("%Y-%m-%d")
end_time = (current_date + pd.Timedelta(jjmax, "D")).strftime("%Y-%m-%d")
if jjmax == 1: # Return end time as today - 1min
end_time = (current_date -
pd.Timedelta(1, "m")).strftime("%Y-%m-%dT%H:%M")
query = gen_request_parameters(query_string,
tweet_fields=tweet_fields,
start_time=start_time,
end_time=end_time,
results_per_call=nb_tweets)
return query
def load():
config = twitter_conifg()
base_date = datetime.datetime.today()
date_list = [base_date - datetime.timedelta(days=x) for x in range(5)]
date_list.reverse()
all_tweets = []
for idx, date in enumerate(date_list):
if idx != 4:
final_date = date + datetime.timedelta(days=1)
search_args = load_credentials(
filename="./configs/twitter_api.yaml",
yaml_key="search_tweets_v2",
env_overwrite=False)
query = gen_request_parameters(
config['query'],
results_per_call=100,
place_fields='country',
start_time=date.strftime('%Y-%m-%d'),
end_time=final_date.strftime('%Y-%m-%d'))
tweets = collect_results(query,
max_tweets=1000,
result_stream_args=search_args)
def add_date(x):
x['fecha'] = date.strftime('%Y-%m-%d')
return x
tweets = list(map(add_date, tweets))
all_tweets.append(tweets)
all_tweets = reduce(lambda x, y: x + y, all_tweets)
return all_tweets
def search(queryString, outputpath, api_key_yaml,startTime="2016-01-01",endTime="2021-03-15", lang="en"):
search_args = load_credentials(api_key_yaml,
yaml_key="search_tweets_v2",
env_overwrite=False)
print("Should be 1024, but it:")
print(len(queryString + " -is:nullcast -is:retweet -is:verified -is:quote " + "lang:"+lang))
#,created_at,geo,in_reply_to_user_id,lang,author_id,conversation_id,public_metrics,entities,context_annotations
query = gen_request_parameters(query=queryString.strip() + " -is:nullcast -is:retweet -is:verified -is:quote " + "lang:"+lang, media_fields="media_key,type",user_fields="id,description,location,name,entities,url,username,public_metrics,verified,withheld,protected",tweet_fields="id,text,created_at,geo,in_reply_to_user_id,lang,author_id,conversation_id,public_metrics,entities,context_annotations,attachments",start_time=startTime,end_time=endTime, stringify=False, expansions="author_id,attachments.media_keys",results_per_call=500)
rs = ResultStream(request_parameters=query, max_tweets=sys.maxsize, max_requests=sys.maxsize, **search_args)
i = 0
with open(outputpath, 'w') as outputcsv:
writer = csv.writer(outputcsv)
writer.writerow(headers)
for tweet in rs.stream():
# print(tweet)
if "id" in tweet:
writer.writerow(createRow(headers, tweet))
if "users" in tweet:
print("parsing users")
dump_users_info(tweet,outputpath.replace(".csv",str(i) +"-users.csv"))
i+=1
def create_query_obj(query_str: str, start_date: str, end_date: str):
return gen_request_parameters(
query=query_str,
results_per_call=500,
start_time=start_date,
end_time=end_date,
tweet_fields="created_at",
expansions="author_id,referenced_tweets.id,referenced_tweets.id.author_id",
)
def main(mytimer: func.TimerRequest,
fetchedTweetsQue: func.Out[func.QueueMessage]) -> None:
time = datetime.utcnow().replace(tzinfo=timezone.utc)
hashtags = get_hashtags()
credentials = load_twitter_credentials()
start_time = time - timedelta(minutes=5)
tweet_fields = ['id', 'text', 'created_at', 'lang']
for hashtag in hashtags:
query = hashtag
logging.info(f'Fetching tweets with query: {query}')
retquest_params = gen_request_parameters(
query,
start_time=start_time.strftime("%Y-%m-%d %H:%M"),
tweet_fields=','.join(tweet_fields),
# since_id= # TODO: Use last fetch tweet id in request
)
response = collect_results(retquest_params,
max_tweets=100,
result_stream_args=credentials)
if (response):
tweets = response[:-1]
response_metadata = response[-1]
# TODO: Store 'newest_id'
# TODO: Support pagination
logging.info(f'Unfiltered tweets count: {len(tweets)}')
messages = []
for t in filter_tweets(tweets):
t['hashtag'] = hashtag
messages.append(dumps(t))
logging.info(f'Filtered tweets count: {len(messages)}')
logging.info(messages)
fetchedTweetsQue.set(messages)
logging.info('Python timer trigger function ran at %s', time.isoformat())
# loop through dates
for single_date in daterange(start_date, end_date):
# set start timestamp
start_ts = single_date
# set end timestamp
end_ts = single_date + timedelta(days=1)
# payload rules for v2 api
rule = gen_request_parameters(
query=config['query'],
results_per_call=config['results_per_call'],
start_time=start_ts.isoformat(),
end_time=end_ts.isoformat(),
tweet_fields=tweetfields,
user_fields=userfields,
media_fields=mediafields,
place_fields=placefields,
expansions=expansions,
stringify=False)
# result stream from twitter v2 api
rs = ResultStream(request_parameters=rule,
max_results=100000,
max_pages=1,
max_tweets=config['max_tweets'],
**search_creds)
# number of reconnection tries
tries = 10
def lookup(self, config: TwitterSourceConfig,
**kwargs) -> List[AnalyzerRequest]:
if not config.query and not config.keywords and not config.hashtags and config.usernames:
raise AttributeError(
"At least one non empty parameter required (query, keywords, hashtags, and usernames)"
)
place_fields = ",".join(
config.place_fields) if config.place_fields is not None else None
user_fields = ",".join(
config.user_fields) if config.user_fields is not None else None
expansions = ",".join(
config.expansions) if config.expansions is not None else None
tweet_fields = ",".join(
config.tweet_fields) if config.tweet_fields is not None else None
# Get data from state
id: str = kwargs.get("id", None)
state: Dict[
str, Any] = None if id is None else self.store.get_source_state(id)
since_id: Optional[
int] = config.since_id or None if state is None else state.get(
"since_id", None)
until_id: Optional[
int] = config.until_id or None if state is None else state.get(
"until_id", None)
update_state: bool = True if id else False
state = state or dict()
max_tweet_id = since_id
min_tweet_id = until_id
lookup_period = config.lookup_period
start_time = None if lookup_period is None else datetime.strptime(
convert_utc_time(lookup_period), "%Y-%m-%dT%H:%M:%S%z")
if since_id or until_id:
lookup_period = None
query = self._generate_query_string(query=config.query,
keywords=config.keywords,
hashtags=config.hashtags,
usernames=config.usernames,
operators=config.operators)
source_responses: List[AnalyzerRequest] = []
need_more_lookup = True
while need_more_lookup:
search_query = gen_request_parameters(
query=query,
results_per_call=config.max_tweets,
place_fields=place_fields,
expansions=expansions,
user_fields=user_fields,
tweet_fields=tweet_fields,
since_id=since_id,
until_id=until_id,
start_time=lookup_period)
logger.info(search_query)
tweets_output = collect_results(
query=search_query,
max_tweets=config.max_tweets,
result_stream_args=config.credential.get_twitter_credentials())
if not tweets_output:
logger.info("No Tweets found")
need_more_lookup = False
break
tweets = []
users = []
meta_info = None
for raw_output in tweets_output:
if "text" in raw_output:
tweets.append(raw_output)
elif "users" in raw_output:
users = raw_output["users"]
elif "meta" in raw_output:
meta_info = raw_output["meta"]
# Extract user info and create user map
user_map: Dict[str, Dict[str, Any]] = {}
if len(users) > 0 and "id" in users[0]:
for user in users:
user_map[user["id"]] = user
# TODO use it later
logger.info(f"Twitter API meta_info='{meta_info}'")
for tweet in tweets:
if "author_id" in tweet and tweet["author_id"] in user_map:
tweet["author_info"] = user_map.get(tweet["author_id"])
source_responses.append(self._get_source_output(tweet))
# Get latest tweet id
current_tweet_id = int(tweet["id"])
logger.info(
f'{tweet["created_at"]}:{current_tweet_id}:{since_id}:{until_id}'
)
if start_time:
created_date = datetime.strptime(tweet["created_at"],
"%Y-%m-%dT%H:%M:%S.%f%z")
if start_time > created_date:
need_more_lookup = False
break
if max_tweet_id is None:
max_tweet_id = current_tweet_id
if min_tweet_id is None:
min_tweet_id = current_tweet_id
if max_tweet_id < current_tweet_id:
max_tweet_id = current_tweet_id
if min_tweet_id > current_tweet_id:
min_tweet_id = current_tweet_id
logger.info(f'{max_tweet_id}:{min_tweet_id}')
until_id = min_tweet_id
lookup_period = None
if update_state:
state["since_id"] = max_tweet_id
self.store.update_source_state(workflow_id=id, state=state)
return source_responses
with open(value, "r") as credfile:
os.environ[key] = credfile.read()
stream_args = load_credentials(filename="config.yaml",
yaml_key="search_tweets_pgdinamica",
env_overwrite=True)
LIMIT = 100
search_term = "python"
if not os.path.exists(OUT_DIR):
os.makedirs(OUT_DIR)
for day in range(14, 21):
query = gen_request_parameters(f"{search_term} lang:pt",
start_time=f"2021-03-{day} 09:00",
results_per_call=LIMIT)
tweets = collect_results(query,
max_tweets=LIMIT,
result_stream_args=stream_args)
print(f"{len(tweets)} resultados no dia {day}")
with open(os.path.join(OUT_DIR, f"tweets_{search_term}.txt"),
"a") as tweetsfile:
lines = [tweet['text'] for tweet in tweets if 'text' in tweet]
tweetsfile.writelines(lines)
print("FIM")
def lookup(self, config: TwitterSourceConfig,
**kwargs) -> List[TextPayload]: # type: ignore[override]
if (not config.query and not config.keywords and not config.hashtags
and config.usernames):
raise AttributeError(
"At least one non empty parameter required (query, keywords, hashtags, and usernames)"
)
place_fields = (",".join(config.place_fields)
if config.place_fields is not None else None)
user_fields = (",".join(config.user_fields)
if config.user_fields is not None else None)
expansions = (",".join(config.expansions)
if config.expansions is not None else None)
tweet_fields = (",".join(config.tweet_fields)
if config.tweet_fields is not None else None)
# Get data from state
identifier: str = kwargs.get("id", None)
state: Optional[Dict[str,
Any]] = (None if identifier is None
or self.store is None else
self.store.get_source_state(identifier))
since_id: Optional[int] = (config.since_id or None if state is None
else state.get("since_id", None))
until_id: Optional[int] = (config.until_id or None if state is None
else state.get("until_id", None))
update_state: bool = True if identifier else False
state = state or dict()
max_tweet_id = since_id
lookup_period = config.lookup_period
if lookup_period is None:
start_time = None
elif len(lookup_period) <= 5:
start_time = convert_utc_time(lookup_period).replace(
tzinfo=pytz.UTC)
else:
start_time = datetime.strptime(lookup_period,
"%Y-%m-%dT%H:%M:%S%z")
if since_id or until_id:
lookup_period = None
query = self._generate_query_string(
query=config.query,
keywords=config.keywords,
hashtags=config.hashtags,
usernames=config.usernames,
operators=config.operators,
)
source_responses: List[TextPayload] = []
search_query = gen_request_parameters(
granularity=None,
query=query,
results_per_call=config.max_tweets,
place_fields=place_fields,
expansions=expansions,
user_fields=user_fields,
tweet_fields=tweet_fields,
since_id=since_id,
until_id=until_id,
start_time=lookup_period,
stringify=False,
)
logger.info(search_query)
tweets_output = collect_results(
query=search_query,
max_tweets=config.max_tweets,
result_stream_args=config.get_twitter_credentials(),
)
tweets: List[Dict[str, Any]] = []
users: List[Dict[str, Any]] = []
meta_info: Dict[str, Any] = {}
if not tweets_output and len(tweets_output) == 0:
logger.info("No Tweets found")
else:
tweets = tweets_output[0]["data"] if "data" in tweets_output[
0] else tweets
if "includes" in tweets_output[0] and "users" in tweets_output[0][
"includes"]:
users = tweets_output[0]["includes"]["users"]
meta_info = tweets_output[0]["meta"] if "meta" in tweets_output[
0] else meta_info
# Extract user info and create user map
user_map: Dict[str, Dict[str, Any]] = {}
if len(users) > 0 and "id" in users[0]:
for user in users:
if "username" in user:
user[
"user_url"] = f'https://twitter.com/{user["username"]}'
user_map[user["id"]] = user
logger.info(f"Twitter API meta_info='{meta_info}'")
for tweet in tweets:
if "author_id" in tweet and tweet["author_id"] in user_map:
tweet["author_info"] = user_map.get(tweet["author_id"])
source_responses.append(self._get_source_output(tweet))
if start_time:
created_date = datetime.strptime(tweet["created_at"],
"%Y-%m-%dT%H:%M:%S.%f%z")
if start_time > created_date:
break
max_tweet_id = meta_info[
"newest_id"] if "newest_id" in meta_info else max_tweet_id
# min_tweet_id = meta_info["oldest_id"] if "oldest_id" in meta_info else min_tweet_id
if update_state and self.store is not None:
state["since_id"] = max_tweet_id
self.store.update_source_state(workflow_id=identifier, state=state)
return source_responses
# Where to save our results should be defined here
saving_path = r'/Volumes/My Passport for Mac/tweets/tweets_metadata_08052021.csv'
""" Credentials file for developer accounts, mandatory for the access to API!!! """
credentials = load_credentials(filename="credentials.yaml",
yaml_key="credentials",
env_overwrite=False) # change if needed
""" Query can be defined here,
there always has to be a certain search keyword, I put 'a' here because of the wider
reach, might be possible to exclude (have to do further investigations in this case.
results_per_call can be redefined via a .yaml file """
# request params for this query
query = searchtweets.gen_request_parameters("a lang:de",
start_time="2021-05-08T00:00",
end_time="2021-05-08T23:59",
results_per_call=100)
""" List of tweet dicts, including the ids and the tweet text. Can be directly printed or stored in a file """
# tweets = collect_results(query,
# max_tweets=100,
# result_stream_args=credentials)
#
# with open('./tweets.txt', 'w') as tweet_file:
# for x in tweets:
# for y in x:
# if y == 'text':
# tweet_file.write(x[y] + '\n')
def check_files():
print("Empty txt can't generate a word cloud")
else:
wordcloud = WordCloud().generate(text)
image = wordcloud.to_image()
image.save(os.path.join("output", f"{OUT_FILE}.png"))
print("Image Loaded")
stream_args = load_credentials(filename="config.yalm",
yaml_key="search_tweets_v2",
env_overwrite=False)
tweeterUser = input("Inform the Tweet user: "******"from:{tweeterUser} -has:links",
results_per_call=TWITTER_QUANTITY)
try:
tweets = collect_results(query,
max_tweets=TWITTER_QUANTITY,
result_stream_args=stream_args)
except requests.exceptions.HTTPError as exception:
print(colored("There's an error in your api request, Error: ", 'red'))
sys.exit()
if not os.path.exists(OUT_DIR):
os.makedirs(OUT_DIR)
with io.open(os.path.join(OUT_DIR, f"{OUT_FILE}.txt"), "w",
encoding="utf-8") as tweetsfile:
for tweet in tweets:
def lookup(self, config: TwitterSourceConfig) -> List[AnalyzerRequest]:
if not config.query and not config.keywords and not config.hashtags and config.usernames:
raise AttributeError(
"At least one non empty parameter required (query, keywords, hashtags, and usernames)"
)
place_fields = ",".join(
config.place_fields) if config.place_fields is not None else None
user_fields = ",".join(
config.user_fields) if config.user_fields is not None else None
expansions = ",".join(
config.expansions) if config.expansions is not None else None
tweet_fields = ",".join(
config.tweet_fields) if config.tweet_fields is not None else None
query = self._generate_query_string(query=config.query,
keywords=config.keywords,
hashtags=config.hashtags,
usernames=config.usernames,
operators=config.operators)
search_query = gen_request_parameters(
query=query,
results_per_call=config.max_tweets,
place_fields=place_fields,
expansions=expansions,
user_fields=user_fields,
tweet_fields=tweet_fields,
since_id=config.since_id,
until_id=config.until_id,
start_time=config.lookup_period)
tweets_output = collect_results(
query=search_query,
max_tweets=config.max_tweets,
result_stream_args=config.credential.get_twitter_credentials())
if not tweets_output:
logger.info("No Tweets found")
return []
tweets = []
users = []
meta_info = None
for raw_output in tweets_output:
if "text" in raw_output:
tweets.append(raw_output)
elif "users" in raw_output:
users = raw_output["users"]
elif "meta" in raw_output:
meta_info = raw_output["meta"]
# Extract user info and create user map
user_map: Dict[str, Dict[str, Any]] = {}
if len(users) > 0 and "id" in users[0]:
for user in users:
user_map[user["id"]] = user
# TODO use it later
logger.info(f"Twitter API meta_info='{meta_info}'")
source_responses: List[AnalyzerRequest] = []
for tweet in tweets:
if "author_id" in tweet and tweet["author_id"] in user_map:
tweet["author_info"] = user_map.get(tweet["author_id"])
source_responses.append(self._get_source_output(tweet))
return source_responses
from searchtweets import ResultStream, gen_request_parameters, load_credentials
search_args = load_credentials("~/.twitter_keys.yaml",
yaml_key="search_tweets_v2",
env_overwrite=False)
query = gen_request_parameters("Electric Vehicle", results_per_call=100)
rs = ResultStream(request_parameters=query,
max_results=500,
max_pages=1,
**search_args)
tweets = list(rs.stream())
