External data

External data lets you add dynamic data to your ranking expressions. External data is provided when reading the feed, so you can provide user-specific data here.

Every external.* field that the score expression references needs a default in ranking.defaults.external, and creating or updating a feed group or feed view without one fails with expression references fields without defaults: external.<field>. The default is used when a read doesn't provide that field. Custom activity fields used in the expression, such as stock in the examples below, need a default too.

Fields in external_ranking replace the default with the same top-level key. A nested object you provide replaces the whole default object for that key; it is not merged key by key.

Accessing external data in ranking expressions

name	description
`external`	The `external_ranking` object provided when reading the feed. Nested fields can be accessed with `.` notation, for example: `external.foo`

from getstream.models import ActivitySelectorConfig, RankingConfig

client.feeds.create_feed_group(
    id="myid",
    activity_selectors=[ActivitySelectorConfig(type="following")],
    ranking=RankingConfig(
        type="expression",
        score="popularity * external.popularity_multiplier + share_count * external.share_multiplier",
        # Required: used when a read doesn't provide these fields
        defaults={"external": {"popularity_multiplier": 1, "share_multiplier": 1}},
    ),
)

Providing external data when reading the feed

client.feeds.feed("timeline", "john").get_or_create(
    user_id="john",
    external_ranking={
        "popularity_multiplier": 1,  # normal weight for popularity
        "share_multiplier": 100,  # very high boost for share_count
    },
)

Arrays and Maps

Stream provides three powerful functions for working with arrays and maps in ranking expressions. These functions are particularly useful for creating dynamic, personalized ranking algorithms that can respond to external data.

map_lookup(key, map)

Looks up a single value from a map by key. If the key doesn't exist, it returns 0.0. key must be a string and map an object, otherwise evaluating the expression fails.

from getstream.models import ActivitySelectorConfig, RankingConfig

client.feeds.create_feed_group(
    id="myid",
    activity_selectors=[ActivitySelectorConfig(type="following")],
    ranking=RankingConfig(
        type="expression",
        score="popularity + map_lookup(stock, external.stock_boosts)",
        defaults={"stock": "", "external": {"stock_boosts": {}}},
    ),
)

Providing external data when reading the feed

client.feeds.feed("timeline", "john").get_or_create(
    user_id="john",
    external_ranking={
        "stock_boosts": {"apple": 0.9, "tesla": 0.5, "microsoft": 0.3},
    },
)

sum_map_lookup(keys, map)

Sums values from a map for multiple keys. Keys must be strings; missing keys and non-numeric values are skipped. This is useful when an activity has multiple tags or categories that should all contribute to the score.

from getstream.models import ActivitySelectorConfig, RankingConfig

client.feeds.create_feed_group(
    id="myid",
    activity_selectors=[ActivitySelectorConfig(type="following")],
    ranking=RankingConfig(
        type="expression",
        score="popularity + sum_map_lookup(stocks, external.stock_boosts)",
        defaults={"stocks": [], "external": {"stock_boosts": {}}},
    ),
)

Providing external data when reading the feed

client.feeds.feed("timeline", "john").get_or_create(
    user_id="john",
    external_ranking={
        "stock_boosts": {"apple": 10.0, "tesla": 5.0, "microsoft": 2.0},
    },
)

# score = popularity + 10.0 + 5.0 = popularity + 15.0 (for activity with stocks: ['apple', 'tesla'])

in_array(needle, haystack)

Checks if a value exists in an array. Returns 1.0 if found, 0.0 if not found. The comparison is exact, so the string "1" doesn't match the number 1. Because the result is a number, compare it explicitly in conditions, for example in_array(stock, external.watchlist) == 1.

from getstream.models import ActivitySelectorConfig, RankingConfig

client.feeds.create_feed_group(
    id="myid",
    activity_selectors=[ActivitySelectorConfig(type="following")],
    ranking=RankingConfig(
        type="expression",
        score="popularity + in_array(stock, external.watchlist) * 10",
        defaults={"stock": "", "external": {"watchlist": []}},
    ),
)

Providing external data when reading the feed

client.feeds.feed("timeline", "john").get_or_create(
    user_id="john",
    external_ranking={"watchlist": ["apple", "tesla", "microsoft"]},
)

# activities with stocks in the watchlist get a +10 boost, others get no boost.

Practical Examples

Stock Trading Feed:

score: "popularity + sum_map_lookup(stocks, external.stock_boosts) + in_array(market_sector, external.favorite_sectors) * 5";

Content Categorization:

score: "popularity + in_array(category, external.preferred_categories) * 3 + map_lookup(category, external.category_weights)";

Multi-tag Content:

score: "popularity + sum_map_lookup(tags, external.tag_boosts) + in_array(priority, external.high_priority_tags) * 10";