Load the stored OAuth token and create an authenticated NewsBlurClient. Uses the server URL from config (set via --server or `newsblur auth login

Route output to the appropriate formatter based on CLI flags.

Decompress and return response.

Set up our customised ActionBar view that features the specified icon and title, sized away from system standard to meet the NewsBlur visual style.

Extract significant (non-stopword) words from a normalized title. Filters out purely numeric tokens (e.g. '2026', '17') which cause date-base

Get the cached Feed object for the feed at the given list location.

Count SQL, Redis, and Mongo queries from connection.queriesx. Returns dict with counts: { 'sql': int,

Get or create Elasticsearch client.

Get the authenticated user's feeds via /reader/feeds.

Invoke the rawQuery() method on our read-only SQLiteDatabase memeber using the provided CancellationSignal only if the device's platform provides supp

Like dict.update() but add counts instead of replacing them. Source can be an iterable, a dictionary, or another Counter instance. >

Check if user has access to the Archive Extension feature. Returns (has_access, error_message). All authenticated users can ingest conte

Generate consistent cache key names for river stories. This helper ensures cache creation and deletion use identical keys. Args:

* Initialize the API client, loading token and server URL from storage

Save newsletter results to cache.

Record a subscription event for a feed.

Search for feeds by text matching on title, feed_address, and link. Uses a combination of: - Exact match on title (highest w

Select the most important stories for a user's briefing and categorize them by reader value (why the user should read them). Scoring fac

Implements Python 2.7's datetime.timedelta.total_seconds() for backwards compatibility with Python 2.5 and 2.6.

Returns the started mocks as a dict keyed by the attribute name we care about.

Add read time for a story. Filters out reads < 3 seconds. Updates story-level, feed-level, and story index aggregates.

Decompress and return content.

Get or create settings for a user.

Get top trending feeds based on accumulated read time over past N days.

Update an indexed archive document. Args: archive_id: Archive document ID **fields: Fields to update (title,

Apply text classifiers to a story (non-regex only). Args: classifiers: List of MClassifierText objects story: Story dict wit

Group stories by title similarity across different feeds. Uses two tiers: 1. Exact normalized title match (fast, O(n)) 2. Significant-wor

* Get user settings * @returns {Promise<object>} Settings object

Normalize a section key to match VALID_SECTION_KEYS. 1. Lowercase and strip whitespace 2. Replace hyphens with underscores 3. Collap

Apply URL classifiers to a story (non-regex only). Args: classifiers: List of MClassifierUrl objects story: Story dict with

Archive a page, handling deduplication and updates. Returns tuple: (archive, created, updated) - archive: The MArchivedStory

Uses requests to download the feed, parsing it in feedparser. Will be storified later.

Gets a single feed ID iff there is only one or null otherwise.

Mark a list of feeds as read. Takes an array of feeds.

Normalize a URL by removing tracking parameters, fragments, and standardizing format. Args: url: URL string to normalize Return

Apply URL regex classifiers to a story. Matches permalink URL only. Args: classifiers: List of MClassifierUrl objects with is_regex=