d60
create_tweet() error
When create_tweet() is executed, an error occurs, but the message below appears and the detailed cause of the error cannot be determined. use twikit 2.1.3
python code: File "C:\Users\xxxx\Documents\mytool\twtestv2.py", line 79, in main tweet_ = await client.create_tweet(text=text_, media_ids=media_, is_note_tweet = True) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "D:\venv\Lib\site-packages\twikit\client\client.py", line 1222, in create_tweet _result = response['data']['create_tweet']['tweet_results'] ~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^ KeyError: 'create_tweet'
Usually KeyError is designed to handle most of the common exceptions for example, when you try to access a key that isn’t in a dictionary.
Check the documentation here to ensure everything is as it should be. At first glance, I can't tell if there's a problem with your code but if you provide more of your code I can take a look.
I have the same error with this code
# Publicar un tweet cada 5 minutos con la información de cada fila del DataFrame
if 'df' in locals():
for index, row in result.iterrows():
tweet1 = f"Grupo de Interés: {row['group_name']}\n" \
f"Periódico: {row['Periodico']}\n" \
f"Título: {row['title']}\n" \
f"{row['link']}\n"
# Calcular el total de porcentaje sumando los valores de negativo y positivo
total_percentage = row['negative'] + row['positive']
# Calcular el porcentaje de negativo y positivo en relación con el total de porcentaje
negative_percentage = (row['negative'] / total_percentage) * 100
positive_percentage = (row['positive'] / total_percentage) * 100
# Formatear el texto del tweet incluyendo los porcentajes
tweet2 = f"Negativo: {row['negative']} ({negative_percentage:.2f}%)\n" \
f"Positivo: {row['positive']} ({positive_percentage:.2f}%)\n"
# Calcular el total de palabras sumando las emociones específicas
total_words = row['anger'] + row['anticipation'] + row['disgust'] + row['fear'] + row['joy'] + row['sadness'] + row['surprise'] + row['trust']
tweet3 = f"Ira: {row['anger']} ({(row['anger'] / total_words) * 100:.2f}%)\n" \
f"Anticipación: {row['anticipation']} ({(row['anticipation'] / total_words) * 100:.2f}%)\n" \
f"Disgusto: {row['disgust']} ({(row['disgust'] / total_words) * 100:.2f}%)\n" \
f"Miedo: {row['fear']} ({(row['fear'] / total_words) * 100:.2f}%)\n" \
f"Alegría: {row['joy']} ({(row['joy'] / total_words) * 100:.2f}%)\n" \
f"Tristeza: {row['sadness']} ({(row['sadness'] / total_words) * 100:.2f}%)\n" \
f"Sorpresa: {row['surprise']} ({(row['surprise'] / total_words) * 100:.2f}%)\n" \
f"Confianza: {row['trust']} ({(row['trust'] / total_words) * 100:.2f}%)\n"
#tweet4 = f"Cuenta de twitter del Grupo de Interes: {row['twitter_link']}\n" \
#f"Cuenta de twitter del Periódico: {row['Cuenta_Twitter']}"
texts = [tweet1, tweet2, tweet3]#, tweet4]
reply_to = None
try:
for text in texts:
tweet = await client.create_tweet(text, reply_to=reply_to)
reply_to = tweet.id
time.sleep(30)
except Exception as e:
print(f"Error al enviar el tweet: {e}")
continue # Continuar con la siguiente iteración del bucle si hay un error
# Esperar un tiempo aleatorio entre 2 y 4 minutos antes de enviar el siguiente tweet
wait_time = random.randint(120, 240)
print(f"Esperando {wait_time} segundos antes de enviar el siguiente tweet...")
time.sleep(wait_time)
else:
print("No se pudo crear el DataFrame debido a un error.")
This is the output, somethimes works and sometimes doesn't
Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Esperando 219 segundos antes de enviar el siguiente tweet... Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Esperando 197 segundos antes de enviar el siguiente tweet... Esperando 240 segundos antes de enviar el siguiente tweet... Error al enviar el tweet: 'create_tweet' Esperando 139 segundos antes de enviar el siguiente tweet... Esperando 233 segundos antes de enviar el siguiente tweet... Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet' Error al enviar el tweet: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
Can you provide more information about the error?
KeyError: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
Traceback (most recent call last):
File "c:\proyectos\monitoreo de grupos de interés twitter\lobby_spain_twitter.py", line 263, in main
tweet = await client.create_tweet(text, reply_to=reply_to)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\USUARIO\anaconda3\Lib\site-packages\twikit\client\client.py", line 1241, in create_tweet
_result = response['data']['create_tweet']['tweet_results']
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
When fails
Error al enviar el tweet: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
when the 3 tweets are posted
Esperando 139 segundos antes de enviar el siguiente tweet...
Esperando 233 segundos antes de enviar el siguiente tweet...
async def create_tweet(
self,
...
) -> Tweet:
...
response, _ = await self.gql.create_tweet(
is_note_tweet, text, media_entities, poll_uri,
reply_to, attachment_url, community_id, share_with_followers,
richtext_options, edit_tweet_id, limit_mode
)
print(response)
_result = response['data']['create_tweet']['tweet_results']
Through a test, I found out that the problem probably is that you are trying to create a tweet that already exists:
import asyncio
from twikit import Client
async def main():
client = Client('en-US')
await client.login(
auth_info_1="***",
auth_info_2="***",
password="***"
)
await client.create_tweet("test")
if __name__ == '__main__':
asyncio.run(main())
The first time I executed this script response was:
{'data': {'create_tweet': {'tweet_results': { ... }}}}
The second time response changed to:
{'errors': [{'message': 'Authorization: Status is a duplicate. (187)', 'locations': [{'line': 18, 'column': 3}], 'path': ['create_tweet'], 'extensions': {'name': 'AuthorizationError', 'source': 'Client', 'code': 187, 'kind': 'Permissions', 'tracing': {'trace_id': '0016b2cbaf47a4fc'}}, 'code': 187, 'kind': 'Permissions', 'name': 'AuthorizationError', 'source': 'Client', 'tracing': {'trace_id': '0016b2cbaf47a4fc'}}], 'data': {}}```
I change the text of the tweets adding the date of scrape for each tweet, to test your hypothesis.
for index, row in result.iterrows():
tweet1 = f"Grupo de Interés: {row['group_name']}\n" \
f"Periódico: {row['Periodico']}\n" \
f"Título: {row['title']}\n" \
f"Fecha de extracción de noticia: {row['scrape_date']}\n" \
f"{row['link']}\n"
# Calcular el total de porcentaje sumando los valores de negativo y positivo
total_percentage = row['negative'] + row['positive']
# Calcular el porcentaje de negativo y positivo en relación con el total de porcentaje
negative_percentage = (row['negative'] / total_percentage) * 100
positive_percentage = (row['positive'] / total_percentage) * 100
# Formatear el texto del tweet incluyendo los porcentajes
tweet2 = f"Negativo: {row['negative']} ({negative_percentage:.2f}%)\n" \
f"Positivo: {row['positive']} ({positive_percentage:.2f}%)\n" \
f"Fecha de análsis de Sentimiento: {row['scrape_date']}\n"
# Calcular el total de palabras sumando las emociones específicas
total_words = row['anger'] + row['anticipation'] + row['disgust'] + row['fear'] + row['joy'] + row['sadness'] + row['surprise'] + row['trust']
tweet3 = f"Ira: {row['anger']} ({(row['anger'] / total_words) * 100:.2f}%)\n" \
f"Anticipación: {row['anticipation']} ({(row['anticipation'] / total_words) * 100:.2f}%)\n" \
f"Disgusto: {row['disgust']} ({(row['disgust'] / total_words) * 100:.2f}%)\n" \
f"Miedo: {row['fear']} ({(row['fear'] / total_words) * 100:.2f}%)\n" \
f"Alegría: {row['joy']} ({(row['joy'] / total_words) * 100:.2f}%)\n" \
f"Tristeza: {row['sadness']} ({(row['sadness'] / total_words) * 100:.2f}%)\n" \
f"Sorpresa: {row['surprise']} ({(row['surprise'] / total_words) * 100:.2f}%)\n" \
f"Confianza: {row['trust']} ({(row['trust'] / total_words) * 100:.2f}%)\n" \
f"Fecha de análsis de Emociones: {row['scrape_date']}\n"
#tweet4 = f"Cuenta de twitter del Grupo de Interes: {row['twitter_link']}\n" \
#f"Cuenta de twitter del Periódico: {row['Cuenta_Twitter']}"
texts = [tweet1, tweet2, tweet3]#, tweet4]
this is the result
Error al enviar el tweet: 'create_tweet'
Traceback (most recent call last):
File "c:\proyectos\monitoreo de grupos de interés twitter\lobby_spain_twitter.py", line 266, in main
tweet = await client.create_tweet(text, reply_to=reply_to)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\USUARIO\anaconda3\Lib\site-packages\twikit\client\client.py", line 1241, in create_tweet
_result = response['data']['create_tweet']['tweet_results']
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
KeyError: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
Traceback (most recent call last):
File "c:\proyectos\monitoreo de grupos de interés twitter\lobby_spain_twitter.py", line 266, in main
tweet = await client.create_tweet(text, reply_to=reply_to)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\USUARIO\anaconda3\Lib\site-packages\twikit\client\client.py", line 1241, in create_tweet
_result = response['data']['create_tweet']['tweet_results']
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
KeyError: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
Traceback (most recent call last):
File "c:\proyectos\monitoreo de grupos de interés twitter\lobby_spain_twitter.py", line 266, in main
tweet = await client.create_tweet(text, reply_to=reply_to)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\USUARIO\anaconda3\Lib\site-packages\twikit\client\client.py", line 1241, in create_tweet
_result = response['data']['create_tweet']['tweet_results']
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
KeyError: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
Traceback (most recent call last):
File "c:\proyectos\monitoreo de grupos de interés twitter\lobby_spain_twitter.py", line 266, in main
tweet = await client.create_tweet(text, reply_to=reply_to)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\USUARIO\anaconda3\Lib\site-packages\twikit\client\client.py", line 1241, in create_tweet
_result = response['data']['create_tweet']['tweet_results']
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
KeyError: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
Traceback (most recent call last):
File "c:\proyectos\monitoreo de grupos de interés twitter\lobby_spain_twitter.py", line 266, in main
tweet = await client.create_tweet(text, reply_to=reply_to)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\USUARIO\anaconda3\Lib\site-packages\twikit\client\client.py", line 1241, in create_tweet
_result = response['data']['create_tweet']['tweet_results']
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
KeyError: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
Traceback (most recent call last):
File "c:\proyectos\monitoreo de grupos de interés twitter\lobby_spain_twitter.py", line 266, in main
tweet = await client.create_tweet(text, reply_to=reply_to)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\USUARIO\anaconda3\Lib\site-packages\twikit\client\client.py", line 1241, in create_tweet
_result = response['data']['create_tweet']['tweet_results']
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
KeyError: 'create_tweet'
Error al enviar el tweet: 'create_tweet'
Traceback (most recent call last):
File "c:\proyectos\monitoreo de grupos de interés twitter\lobby_spain_twitter.py", line 266, in main
tweet = await client.create_tweet(text, reply_to=reply_to)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "C:\Users\USUARIO\anaconda3\Lib\site-packages\twikit\client\client.py", line 1241, in create_tweet
_result = response['data']['create_tweet']['tweet_results']
~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^
KeyError: 'create_tweet'
for index, row in result.iterrows():
tweet1 = f"Grupo de Interés: {row['group_name']}\n" \ f"Periódico: {row['Periodico']}\n" \ f"Título: {row['title']}\n" \ f"Fecha de extracción de noticia: {row['scrape_date']}\n" \ f"{row['link']}\n" # Calcular el total de porcentaje sumando los valores de negativo y positivo total_percentage = row['negative'] + row['positive'] # Calcular el porcentaje de negativo y positivo en relación con el total de porcentaje negative_percentage = (row['negative'] / total_percentage) * 100 positive_percentage = (row['positive'] / total_percentage) * 100 # Formatear el texto del tweet incluyendo los porcentajes tweet2 = f"Negativo: {row['negative']} ({negative_percentage:.2f}%)\n" \ f"Positivo: {row['positive']} ({positive_percentage:.2f}%)\n" \ f"Fecha de análsis de Sentimiento: {row['scrape_date']}\n" # Calcular el total de palabras sumando las emociones específicas total_words = row['anger'] + row['anticipation'] + row['disgust'] + row['fear'] + row['joy'] + row['sadness'] + row['surprise'] + row['trust'] tweet3 = f"Ira: {row['anger']} ({(row['anger'] / total_words) * 100:.2f}%)\n" \ f"Anticipación: {row['anticipation']} ({(row['anticipation'] / total_words) * 100:.2f}%)\n" \ f"Disgusto: {row['disgust']} ({(row['disgust'] / total_words) * 100:.2f}%)\n" \ f"Miedo: {row['fear']} ({(row['fear'] / total_words) * 100:.2f}%)\n" \ f"Alegría: {row['joy']} ({(row['joy'] / total_words) * 100:.2f}%)\n" \ f"Tristeza: {row['sadness']} ({(row['sadness'] / total_words) * 100:.2f}%)\n" \ f"Sorpresa: {row['surprise']} ({(row['surprise'] / total_words) * 100:.2f}%)\n" \ f"Confianza: {row['trust']} ({(row['trust'] / total_words) * 100:.2f}%)\n" \ f"Fecha de análsis de Emociones: {row['scrape_date']}\n" #tweet4 = f"Cuenta de twitter del Grupo de Interes: {row['twitter_link']}\n" \ #f"Cuenta de twitter del Periódico: {row['Cuenta_Twitter']}"
Are you sure that every tweet is different? can you try to print the tweet to make sure all of them are different?
This is only for the first one, but yes all are diferent
tweet1 = f"Grupo de Interés: {row['group_name']}\n" \
f"Periódico: {row['Periodico']}\n" \
f"Título: {row['title']}\n" \
f"Fecha de extracción de noticia: {row['scrape_date']}\n" \
f"{row['link']}\n"
print(tweet1)
# Calcular el total de porcentaje sumando los valores de negativo y positivo
total_percentage = row['negative'] + row['positive']
# Calcular el porcentaje de negativo y positivo en relación con el total de porcentaje
negative_percentage = (row['negative'] / total_percentage) * 100
positive_percentage = (row['positive'] / total_percentage) * 100
# Formatear el texto del tweet incluyendo los porcentajes
tweet2 = f"Negativo: {row['negative']} ({negative_percentage:.2f}%)\n" \
f"Positivo: {row['positive']} ({positive_percentage:.2f}%)\n" \
f"Fecha de análsis de Sentimiento: {row['scrape_date']}\n"
print(tweet2)
# Calcular el total de palabras sumando las emociones específicas
total_words = row['anger'] + row['anticipation'] + row['disgust'] + row['fear'] + row['joy'] + row['sadness'] + row['surprise'] + row['trust']
tweet3 = f"Ira: {row['anger']} ({(row['anger'] / total_words) * 100:.2f}%)\n" \
f"Anticipación: {row['anticipation']} ({(row['anticipation'] / total_words) * 100:.2f}%)\n" \
f"Disgusto: {row['disgust']} ({(row['disgust'] / total_words) * 100:.2f}%)\n" \
f"Miedo: {row['fear']} ({(row['fear'] / total_words) * 100:.2f}%)\n" \
f"Alegría: {row['joy']} ({(row['joy'] / total_words) * 100:.2f}%)\n" \
f"Tristeza: {row['sadness']} ({(row['sadness'] / total_words) * 100:.2f}%)\n" \
f"Sorpresa: {row['surprise']} ({(row['surprise'] / total_words) * 100:.2f}%)\n" \
f"Confianza: {row['trust']} ({(row['trust'] / total_words) * 100:.2f}%)\n" \
f"Fecha de análsis de Emociones: {row['scrape_date']}\n"
print(tweet3)
#tweet4 = f"Cuenta de twitter del Grupo de Interes: {row['twitter_link']}\n" \
#f"Cuenta de twitter del Periódico: {row['Cuenta_Twitter']}"
texts = [tweet1, tweet2, tweet3]#, tweet4]
reply_to = None
Grupo de Interés: Telefónica
Periódico: Europa Press
Título: El Ibex cierra plano el arranque del mes de septiembre, en 11.395 puntos
Fecha de extracción de noticia: 2024/09/03 08:00:39
https://www.europapress.es/economia/bolsa-00348/noticia-ibex-cierra-plano-arranque-mes-septiembre-11395-puntos-20240902183119.html
Negativo: 10 (38.46%)
Positivo: 16 (61.54%)
Fecha de análsis de Sentimiento: 2024/09/03 08:00:39
Ira: 3 (6.82%)
Anticipación: 10 (22.73%)
Disgusto: 2 (4.55%)
Miedo: 6 (13.64%)
Alegría: 3 (6.82%)
Tristeza: 5 (11.36%)
Sorpresa: 2 (4.55%)
Confianza: 13 (29.55%)
Fecha de análsis de Emociones: 2024/09/03 08:00:39`
here complete, thanks for the help by the way @manudev-1
# Publicar un tweet cada 5 minutos con la información de cada fila del DataFrame
if 'df' in locals():
for index, row in result.iterrows():
tweet1 = f"Grupo de Interés: {row['group_name']}\n" \
f"Periódico: {row['Periodico']}\n" \
f"Título: {row['title']}\n" \
f"Fecha de extracción de noticia: {row['scrape_date']}\n" \
f"{row['link']}\n"
print(tweet1)
# Calcular el total de porcentaje sumando los valores de negativo y positivo
total_percentage = row['negative'] + row['positive']
# Calcular el porcentaje de negativo y positivo en relación con el total de porcentaje
negative_percentage = (row['negative'] / total_percentage) * 100
positive_percentage = (row['positive'] / total_percentage) * 100
# Formatear el texto del tweet incluyendo los porcentajes
tweet2 = f"Negativo: {row['negative']} ({negative_percentage:.2f}%)\n" \
f"Positivo: {row['positive']} ({positive_percentage:.2f}%)\n" \
f"Fecha de análsis de Sentimiento: {row['scrape_date']}\n"
print(tweet2)
# Calcular el total de palabras sumando las emociones específicas
total_words = row['anger'] + row['anticipation'] + row['disgust'] + row['fear'] + row['joy'] + row['sadness'] + row['surprise'] + row['trust']
tweet3 = f"Ira: {row['anger']} ({(row['anger'] / total_words) * 100:.2f}%)\n" \
f"Anticipación: {row['anticipation']} ({(row['anticipation'] / total_words) * 100:.2f}%)\n" \
f"Disgusto: {row['disgust']} ({(row['disgust'] / total_words) * 100:.2f}%)\n" \
f"Miedo: {row['fear']} ({(row['fear'] / total_words) * 100:.2f}%)\n" \
f"Alegría: {row['joy']} ({(row['joy'] / total_words) * 100:.2f}%)\n" \
f"Tristeza: {row['sadness']} ({(row['sadness'] / total_words) * 100:.2f}%)\n" \
f"Sorpresa: {row['surprise']} ({(row['surprise'] / total_words) * 100:.2f}%)\n" \
f"Confianza: {row['trust']} ({(row['trust'] / total_words) * 100:.2f}%)\n" \
f"Fecha de análsis de Emociones: {row['scrape_date']}\n"
print(tweet3)
#tweet4 = f"Cuenta de twitter del Grupo de Interes: {row['twitter_link']}\n" \
#f"Cuenta de twitter del Periódico: {row['Cuenta_Twitter']}"
texts = [tweet1, tweet2, tweet3]#, tweet4]
reply_to = None
try:
for text in texts:
tweet = await client.create_tweet(text, reply_to=reply_to)
reply_to = tweet.id
time.sleep(30)
except Exception as e:
# Imprimir el mensaje del error
print(f"Error al enviar el tweet: {e}")
# Imprimir la traza completa del error para más detalles
traceback.print_exc()
continue # Continuar con la siguiente iteración del bucle si hay un error
# Esperar un tiempo aleatorio entre 2 y 4 minutos antes de enviar el siguiente tweet
wait_time = random.randint(120, 240)
print(f"Esperando {wait_time} segundos antes de enviar el siguiente tweet...")
time.sleep(wait_time)
else:
print("No se pudo crear el DataFrame debido a un error.")
```
print(df.info())
<class 'pandas.core.frame.DataFrame'>
RangeIndex: 27 entries, 0 to 26
Data columns (total 20 columns):
# Column Non-Null Count Dtype
--- ------ -------------- -----
0 Periodico 27 non-null object
1 title 27 non-null object
2 link 27 non-null object
3 texto 27 non-null object
4 scrape_date 27 non-null object
5 texto_limpio 27 non-null object
6 texto_sentiment 27 non-null object
7 group_name 27 non-null object
8 short_url 0 non-null float64
9 anger 27 non-null int64
10 anticipation 27 non-null int64
11 disgust 27 non-null int64
12 fear 27 non-null int64
13 joy 27 non-null int64
14 sadness 27 non-null int64
15 surprise 27 non-null int64
16 trust 27 non-null int64
17 negative 27 non-null int64
18 positive 27 non-null int64
19 Best_match 25 non-null object
dtypes: float64(1), int64(10), object(9)
memory usage: 4.3+ KB
None
通常
KeyError、辞書にないキーにアクセスしようとした場合など、一般的な例外のほとんどを処理するように設計されています。すべてが正しく動作していることを確認するには、ここのドキュメントを確認してください。一見したところ、コードに問題があるかどうかはわかりませんが、コードをもっと提供していただければ確認することができます。
It is as follows
try:
media_ = []
media_.append(await client.upload_media(r'C:\Users\tkacsun\Documents\1.png'))
time.sleep(5)
media_.append(await client.upload_media(r'C:\Users\tkacsun\Documents\2.png'))
time.sleep(5)
print('pass3')
now_ = datetime.datetime.now().strftime('%Y/%m/%d %H:%M:%S')
pre_ = '1111111111222222222233333333334444444444555555555566666666667777777777888888888899999999990000000000\n' * 5
pre_ = '1111111111\n'
text_ = pre_ + 'テスト投稿 by twikit\n' + now_
tweet_ = await client.create_tweet(text=text_, media_ids=media_, is_note_tweet = True)
print('pass4')
time.sleep(5)
print(tweet_)
except Exception as excpt_:
print(f"Tweet creation error: {excpt_}")
msg_ = "Exception Type: {}\n".format(type(excpt_).__name__) \
+ "Exception Message: {}\n".format(str(excpt_)) \
+ "Stack Trace:\n" \
+ "".join(traceback.format_exception(None, excpt_, excpt_.__traceback__))
print(msg_)
Also, when I dumped response of client.py, it seems that a key called "notetweet_create" is set.
Usually
KeyErroris designed to handle most of the common exceptions for example, when you try to access a key that isn’t in a dictionary.Check the documentation here to ensure everything is as it should be. At first glance, I can't tell if there's a problem with your code but if you provide more of your code I can take a look.
Also, when I dumped response of client.py, it seems that a key called "notetweet_create" is set. Is this the expected key? insert print() on twikit/client/client.py , line 1241
{'data': {'notetweet_create': {'tweet_results': {'result': {'rest_id': '1831209171418812435', 'core': {'user_results': {'result':
whats the conclusion guys?
The conclusion is that for the function create_tweet there are tons of errors that are not handled in twikit, now we should try to find all the types of response that are not handled to try to raise a more meaningful errors to the developer
print(df.info()) <class 'pandas.core.frame.DataFrame'> RangeIndex: 27 entries, 0 to 26 Data columns (total 20 columns): # Column Non-Null Count Dtype --- ------ -------------- ----- 0 Periodico 27 non-null object 1 title 27 non-null object 2 link 27 non-null object 3 texto 27 non-null object 4 scrape_date 27 non-null object 5 texto_limpio 27 non-null object 6 texto_sentiment 27 non-null object 7 group_name 27 non-null object 8 short_url 0 non-null float64 9 anger 27 non-null int64 10 anticipation 27 non-null int64 11 disgust 27 non-null int64 12 fear 27 non-null int64 13 joy 27 non-null int64 14 sadness 27 non-null int64 15 surprise 27 non-null int64 16 trust 27 non-null int64 17 negative 27 non-null int64 18 positive 27 non-null int64 19 Best_match 25 non-null object dtypes: float64(1), int64(10), object(9) memory usage: 4.3+ KB None
in your case probably the issue generated is that Twitter needs to stay under 240 characters in length by tweet
No, I paid for a basic suscription that allows me for longer tweets
Probably you can't create similar tweets in a small range of time, I noticed from an official forum of the developer community of x: here
By range of time, we mean days or hours? I tweet this tweets every day in the morning, I don't know if is in off
By range of time, we mean days or hours? I tweet this tweets every day in the morning, I don't know if is in off
I don't know, I created #202 to try to handle these errors
Let's see what @d60 say, I am dealing with this error every day I tweet automatcly.
Let's see what @d60 say, I am dealing with this error every day I tweet automatcly.
Do I need to upgrade Tweakit version, because i am currently using twikit==2.1.3?
Can this error be solved. Please help me guy's.
You can't prevent this type of error because it's caused directly by the original Twitter API, the only thing that we can do is to handle this type of error by making it more meaningful to the developer as I did in #202
