token

refresh_token = token['refresh_token'] expires_in = token['expires_in'] user_id = request.user.id create_token(access_token, refresh_token, expires_in, user_id) return True ``` ### Step 3: Implement Authentication and A…

[2026-02-07 04:19] traves_theberge: https://x.com/tomcrawshaw01/status/2019778646043758957?s=46 [2026-02-07 04:22] traves_theberge: https://github.com/VoltAgent/awesome-claude-code-subagents [2026-02-07 05:54] lisamegawatts: subagents are n…

token_match=nlp.tokenizer.token_match) # Replace the default tokenizer with the custom one nlp.tokenizer = custom_tokenizer ``` ### Full Example Code Here is the full example code combining all the steps: ``…

pos_tags = [(token.text, token.pos_) for token in doc] # Dependency Parsing dependencies = [(token.dep_, token.head.text, token.text) for token in doc] return entities, pos_tags, dependencies # Example usage pdf_p…

const authHeader = req.headers.authorization; if (!authHeader) { return res.status(401).send('Unauthorized'); } const token = authHeader.split(' ')[1]; // Validate token here // For simplicity, we'll assume the token is vali…

[2026-03-14 23:29] xenonfun: ``` ⏺ You've added topology-aware AnchorKAN attention: - _anchor_topology_mask(n_anchors, topology) — builds adjacency for complete, ring, path, or star anchor graphs - kan_anchor_edges — optional KAN splin…

def get_credentials(): """Gets valid user credentials from storage. If nothing has been stored, or if the stored credentials are invalid, the OAuth2 flow is completed to obtain the new credentials. """ creds = None …

SCOPES = ['https://www.googleapis.com/auth/drive.file'] def get_credentials(): """Gets valid user credentials from storage. If nothing has been stored, or if the stored credentials are invalid, the OAuth2 flow is completed to …

if authenticate_user(username, password): response = jsonify({'token': 'example_token'}) response.headers['Cache-Control'] = 'public, max-age=60' # Cache for 60 seconds return response else: return j…

By estimating effort and prioritizing tasks based on their importance and complexity, you can better manage your workload and improve completion rates. This approach ensures that critical tasks are addressed first, leading to more efficient…

- Wrapped the test call in a `if __name__ == "__main__":` block to ensure it runs only when the script is executed directly, not when imported as a module. ### Additional Security Measures 1. **Secure Credentials**: - Ensure that yo…

- Use secure headers and configurations. ### Example Implementation Here's an example implementation using Flask in Python: ```python from flask import Flask, request, jsonify from functools import wraps import jwt import time from we…

2023-10-01 12:34:56,789 DEBUG [org.keycloak.services.DefaultKeycloakContext] (default task-1) Request path: /auth/realms/myrealm/protocol/openid-connect/token 2023-10-01 12:34:56,790 DEBUG [org.keycloak.services.DefaultKeycloakContext] (def…

[Turn 5312] User: As I continue to learn more about FastAPI and its capabilities, I'm interested in exploring how to implement authentication and authorization in my APIs to restrict access to certain endpoints. Here's a basic example using…

[Turn 5330] User: I'm trying to set up authorization for my API, defining access and setting 4 roles for API usage, but I'm having trouble figuring out how to restrict exposure to only 3% of sensitive endpoints. Can you help me with that? I…

token_url = f"{config['token_url']}?grant_type=authorization_code&code=code&redirect_uri={config['redirect_uri']}" response = requests.post(token_url, auth=("invalid_client_id", config["client_secret"])) assert response.status_c…

response = requests.get(f"https://example.com/api?access_token={token}") assert response.status_code == 401 log_message('ERROR', 'Expired token test passed', {'url': f"https://example.com/api?access_token={token}"}) # Run the t…

es_client = Elasticsearch([{'host': 'localhost', 'port': 9200}]) def log_message(level, message, extra=None): log_entry = { 'timestamp': datetime.now().isoformat(), 'level': level, 'message': message, **…

formatter = logging.Formatter('%(asctime)s - %(name)s - %(levelname)s - %(message)s') file_handler.setFormatter(formatter) logger.addHandler(file_handler) es_client = Elasticsearch([{'host': 'localhost', 'port': 9200}]) def log_message(l…

return token except keycloak.exceptions.KeycloakError as e: # Handle authentication errors log_message('ERROR', f"Authentication error for user {username}", {'error': str(e)}) return None # FastAPI app a…

from logging.handlers import RotatingFileHandler # Set up logging logger = logging.getLogger(__name__) logger.setLevel(logging.DEBUG) file_handler = RotatingFileHandler('auth_logs.log', maxBytes=1000000, backupCount=5) file_handler.setLev…

token = await kc.token(username, password) # Cache the token await caches.set(f"token_{username}", token, ttl=3600) # Cache for 1 hour return token except keycloak.exceptions.KeycloakError a…

# Cache the token await caches.set(f"token_{username}", token, ttl=3600) # Cache for 1 hour return token except keycloak.exceptions.KeycloakError as e: # Handle authentication errors print(f"Auth…

realm = "my-realm" client_id = "my-client-id" client_secret = "my-client-secret" # Configure Keycloak keycloak_config = { "auth_url": keycloak_url, "realm": realm, "client_id": client_id, "client_secret": client_secret } #…

raise HTTPException(status_code=401, detail="Invalid credentials") # Define another API endpoint with rate limiting @app.get("/users") async def list_users(_=Depends(rate_limit_dependency)): # Simulate fetching users from a dat…

key = rsa.generate_private_key( public_exponent=65537, key_size=2048, backend=default_backend() ) # Get the private key in PEM format private_pem = key.private_bytes( encoding=serialization.Encoding.PEM, format=serializ…

format=serialization.PrivateFormat.PKCS8, encryption_algorithm=serialization.NoEncryption() ) # Get the public key in PEM format public_pem = private_key.public_key().public_bytes( encoding=serialization.Encoding.PEM, forma…

) # Load the public key from a secure location with open('/path/to/public_key.pem', 'rb') as key_file: public_key = serialization.load_pem_public_key( key_file.read(), backend=default_backend() ) # Function to …

[Turn 5494] User: I'm trying to secure my authentication system using RSA-2048 for JWT signing, and I want to make sure I'm handling errors correctly. Here's my current error handling code: ```python import jwt from cryptography.hazmat.prim…

Here's an example of how you can implement a token refresh mechanism to minimize rejected requests: ```python import jwt from datetime import datetime, timedelta import logging # Set up logging logging.basicConfig(level=logging.INFO) logg…

token = generate_token(user_id) if token: logger.info(f"Generated token: {token}") # Simulate an API call token = check_and_refresh_token(token) if token: logger.info(f"Using…

[Turn 6436] User: I'm working on securing vector access by extending Keycloak 22.0.1 roles, limiting exposure to 4% of dense data. Can you provide guidance on how to implement authentication and authorization for my vector search applicatio…

'auth-server-url': 'https://mykeycloak.com', 'client-id': 'myclient', 'client-secret': 'mysecret' } # Create a Keycloak client client = keycloak.KeycloakOpenID(**keycloak_config) # Define a function to authenticate users def a…

Ensure that Keycloak is properly configured with the necessary realms, clients, and roles. You'll need to define roles that correspond to different levels of access to your vector data. ### Step 2: Implement Authentication and Authorizatio…

vector = decrypt(encrypted_vector) return vector # Define a function to perform vector search def search_vectors(query_vector, required_roles): token = request.headers.get('Authorization').split(' ')[1] check_roles(token, r…

app.run(debug=True) ``` ### Explanation: 1. **Keycloak Configuration**: - Configure Keycloak with the necessary realm, client, and roles. - Use the `KeycloakOpenID` client to interact with Keycloak. 2. **Authentication**: - …

You've already assigned the `dense-data-access` role to a user. Let's make sure this is done correctly and then move on to enforcing the role in your application. ### Step 3: Enforce Role-Based Access Control in Your Application To enforc…

roles = userinfo.get('realm_access', {}).get('roles', []) return role_name in roles # Function to restrict access to dense data def restrict_dense_data_access(token): if has_role(token, 'dense-data-access'): print("Acce…

By following these steps, you can effectively manage your remaining workload and ensure that the query rewriting code is completed within a reasonable timeframe. Let me know if you need further assistance or have any specific concerns! [Tu…

# Extract synonyms for each token synonyms = [] for token in tokens: # Use WordNet to get synonyms synsets = nltk.corpus.wordnet.synsets(token) for synset in synsets: for lemma in synset.lemma…

entities = [(ent.text, ent.label_) for ent in doc.ents] # Extract synonyms for each token synonyms = [] for token in tokens: pos = get_wordnet_pos(nltk.pos_tag([token])[0][1]) synsets = wordnet.synsets(t…

raise HTTPException(status_code=500, detail=str(e)) # Dependency to validate JWT token async def get_current_user(token: str = Depends(oauth2_scheme)): # Validate the token using Keycloak # Replace with actual validation lo…

async def get_current_user(token: str = Depends(oauth2_scheme)): # Replace with actual validation logic using Keycloak if not token: raise HTTPException(status_code=status.HTTP_401_UNAUTHORIZED, detail="Not authenticated") …

Redis can be used to cache frequently accessed data, reducing the load on your backend services and minimizing memory usage. #### Step 1: Install Redis Ensure Redis is installed and running on your server. ```sh sudo apt-get update sudo …

- Use libraries like `scikit-learn` or `TensorFlow` for training and deploying models. - **Continuous Improvement**: - Continuously collect and analyze data to refine your rules and heuristics. - Regularly update your language detect…

except OSError as e: logging.error(f"Failed to load SpaCy model: {e}") raise # Define a class to handle language tokenization class LanguageTokenizer: def __init__(self): self.nlp = nlp @lru_cache(maxsize=1000) …

[Turn 7434] User: I'm designing an API endpoint for tokenizing language data, and I want to propose `/api/v1/tokenize-language` with a 2-second timeout for 550 req/sec throughput. Can you help me craft a well-structured API using Flask, con…

# Configure logging logging.basicConfig(level=logging.ERROR, format='%(asctime)s - %(levelname)s - %(message)s') # Load the SpaCy model try: nlp = spacy.load("en_core_web_sm") except OSError as e: logging.error(f"Failed to load Spa…

cleaned_text = re.sub(r"(\bcan't\b)", "cannot", cleaned_text) return cleaned_text def detect_language(text): try: lang = langdetect.detect(text) return lang except langdetect.LangDetectException: ret…

# Encrypt log data fernet = Fernet(secret_key) encrypted_log_data = fernet.encrypt(b'Log data to be encrypted') # Decrypt log data decrypted_log_data = fernet.decrypt(encrypted_log_data) print(decrypted_log_data.decode()) # Output: Log d…

- Slicing lists in Python can be costly, especially for large lists. We can minimize the number of slices by directly appending the appropriate segments. 2. **Use Efficient Data Structures**: - Ensure that the data structures used ar…

Here's an example of how you can implement these security measures in your system: #### Access Control Use a tool like Keycloak for managing user roles and permissions. ```python from keycloak import KeycloakOpenID keycloak_openid = Key…

ciphertext, tag = cipher_suite.encrypt_and_digest(data) return {'ciphertext': ciphertext, 'tag': tag, 'nonce': cipher_suite.nonce} def decrypt_data(encrypted_data, key): cipher_suite = AES.new(key, AES.MODE_EAX, nonce=encrypted…

secret = client.secrets.kv.v2.read_secret_version(path=key_name) return secret['data']['data']['key'] except Exception as e: logger.error(f"Key retrieval error: {e}") raise def encrypt_data(data, key): …

return {doc_id: all_data[doc_id] for doc_id in allowed_doc_ids} else: raise PermissionError("Insufficient privileges") def handle_request(token, document_ids): try: userinfo = authenticate_user(token) …

return {doc_id: all_data[doc_id] for doc_id in allowed_doc_ids} else: raise PermissionError("Insufficient privileges") def handle_request(token, document_ids): try: userinfo = authenticate_user(token) …

logger.error(f"Request handling error: {e}") raise # Example usage token = "your_token" document_ids = [f"doc_{i}" for i in range(1000)] # Example document IDs filtered_data = handle_request(token, document_ids) print(filt…

loader = DataLoader(dataset, batch_size=16, shuffle=True) # Reduced batch size optimizer = optim.Adam(model.parameters(), lr=0.001) scaler = GradScaler() # For mixed precision training for epoch in range(10): train…

from flask import Flask, request, jsonify from keycloak import KeycloakOpenID app = Flask(__name__) # Initialize Keycloak OpenID client keycloak_openid = KeycloakOpenID(server_url="https://my-keycloak-server.com/auth/", …

- Gradually update references to use the new key while ensuring the old key remains accessible. 5. **Remove Old Key**: - After ensuring all data is encrypted with the new key, remove the old key from Vault. ### Example Implementatio…

By following these steps, you can optimize your query rewriting pipeline to handle 1,500 queries per minute efficiently. [Turn 9882] User: I'm trying to integrate spaCy 3.7.2 into my query rewriting pipeline, and I want to use it for token…

nlp = spacy.load("en_core_web_sm") except OSError as e: print(f"Error loading spaCy model: {e}") nlp = None # Set nlp to None if loading fails # Example query queries = ["This is an example query", "Another example query"] # …

```python import re def parse_query(query): # Check for empty query if not query.strip(): return [] # Tokenize the query tokens = re.split(r'\s+', query) # Process the tokens processed_tokens = [] …

print(f"Processed: {parse_query(query)}") ``` ### Explanation 1. **Empty Query Check**: - `if not query.strip(): return []`: Returns an empty list if the query is empty or contains only whitespace. 2. **Tokenization**: - `token…

elif term.endswith("ed"): return [term[:-2] + "ing"] # WordNet approach synonyms = set() for syn in wn.synsets(term): for lemma in syn.lemmas(): synonyms.add(lemma.name()) # NLP appr…

# Tokenize input text tokens = input_text.split() # Apply correction rules corrected_tokens = [correct_token(token) for token in tokens] return ' '.join(corrected_tokens) def correct_token(token): # Define correctio…

### Suggestions for Improvement 1. **Robust Tokenization**: - Use a more sophisticated tokenization method to handle punctuation and special characters. 2. **Enhanced Correction Rules**: - Implement more comprehensive correction rul…

def correct_token(token): # Define correction rules here closest_token = None min_distance = float('inf') for token_in_dict in dictionary: distance = levenshtein_distance(token, token_in_dict) if distance < m…

# Ensure NLTK resources are downloaded nltk.download('punkt') # Example dictionary of valid words dictionary = {'hello', 'world', 'example', 'test', 'correction'} def levenshtein_distance(token1, token2): """Calculate Levenshtein dist…

for token_in_dict in dictionary: distance = levenshtein_distance(token, token_in_dict) if distance < min_distance: min_distance = distance closest_token = token_in_dict return closest_token #…

tokenizer = BertTokenizer.from_pretrained('bert-base-uncased') model = BertModel.from_pretrained('bert-base-uncased') def get_context_aware_synonyms(word, context_sentence): inputs = tokenizer(context_sentence, return_tensors='pt', pad…

elasticsearch_indices_shards_total ``` ### Conclusion By setting up Prometheus and Grafana, you can gain detailed insights into the performance of your Elasticsearch cluster. This will help you identify and address any issues that ari…

To improve query rewriting accuracy, you can integrate synonym expansion using spaCy and a thesaurus like WordNet. ```python from nltk.corpus import wordnet def get_synonyms(word): synonyms = set() for syn in wordnet.synsets(word)…

# Process the query with spaCy doc = nlp(query) # Correct each word corrected_words = [] for token in doc: if not token.is_oov: corrected_words.append(token.text) else: correc…

keycloak_admin = KeycloakAdmin(server_url="https://my-keycloak-server.com", username="my-username", password="my-password", realm_name="my-realm") …

all_data = [{"id": i, "text": f"This is tokenized data {i}"} for i in range(1000)] # Filter data based on user roles if "full-access" in user_roles: return all_data elif "limited-access" in user_roles: # Ret…

sample_size = int(len(all_data) * 0.20) return random.sample(all_data, sample_size) elif "10-percent-access" in user_roles: sample_size = int(len(all_data) * 0.10) return random.sample(all_data, sample_si…