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Social: pack the conversations

ivy.node.conversations-pack · v0.1.0

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Gathers the platform nodes' conversations into one answer of kind conversations, oldest first, each id once; what IVYX Social's inbox takes.

#social#inbox#ivyx-social

Inputs

FieldTypeDescription
clientstringNot declared
conversationsarrayConversations: id, account, kind, participant, post_key, messages.
conversations_aarrayConversations: id, account, kind, participant, post_key, messages.
conversations_barrayConversations: id, account, kind, participant, post_key, messages.
conversations_carrayConversations: id, account, kind, participant, post_key, messages.
conversations_darrayConversations: id, account, kind, participant, post_key, messages.
conversations_earrayConversations: id, account, kind, participant, post_key, messages.

Outputs

FieldTypeDescription
kindrequiredstringAlways conversations.
conversationsarrayConversations: id, account, kind, participant, post_key, messages.
countrequiredintegerNot declared
clientstringNot declared

Source

python

# Input preparation
inp = __ivy_ctx__["nodes"][__ivy_node_id__]["input"]

# Compute
# Shared by every social node (built into each by build.mjs): dates, blocks, merging.
import datetime, json, re, statistics

def day(s):
    s = str(s or "")[:10]
    return s if re.fullmatch(r"\d{4}-\d{2}-\d{2}", s) else None

def now_iso():
    return datetime.datetime.utcnow().replace(microsecond=0).isoformat() + "Z"

def ms_of(s):
    if s is None or s == "":
        return None
    if isinstance(s, (int, float)):
        return int(s * 1000) if s < 1e12 else int(s)
    t = str(s).replace("Z", "+00:00")
    t = re.sub(r"([+-]\d{2})(\d{2})$", r"\1:\2", t)
    try:
        return int(datetime.datetime.fromisoformat(t).timestamp() * 1000)
    except ValueError:
        return None

def rows_of(block):
    """A {fields, rows} block as dicts."""
    if not isinstance(block, dict) or not block.get("fields"):
        return []
    f = block["fields"]
    return [dict(zip(f, r)) for r in block.get("rows") or []]

def block_of(dicts, first):
    fields = list(first)
    for d in dicts:
        for k in d:
            if k not in fields:
                fields.append(k)
    return {"fields": fields, "rows": [[d.get(k) for k in fields] for d in dicts]}

def listed(v):
    return [x for x in (v if isinstance(v, list) else [v] if v else []) if x is not None]

def text_of(v, limit=4000):
    s = " ".join(str(v).split()) if isinstance(v, (str, int, float)) else ""
    return s[:limit]


class ConversationsPack:
    "Social: pack the conversations"

    def run(self, inp):
        out = {}
        # The platform nodes' conversations as one answer of kind conversations.
        seen, convs = set(), []
        for key in ("conversations", "conversations_a", "conversations_b", "conversations_c", "conversations_d", "conversations_e"):
            for c in listed(inp.get(key)):
                if isinstance(c, dict) and c.get("id") and c["id"] not in seen:
                    seen.add(c["id"]); convs.append(c)
        convs.sort(key=lambda c: max((m.get("at") or 0) for m in c.get("messages") or [{}]) if c.get("messages") else 0)
        out.update({"kind": "conversations", "conversations": convs, "count": len(convs), "client": inp.get("client") or ""})
        return out


result = ConversationsPack().run(inp)

# Output collection (the runner reads it here)
out = __ivy_ctx__["nodes"][__ivy_node_id__]["output"]
out.update(result)

Tests

Requires: python:3.9

  • merge

    Two nodes' conversations become one list, each id once, the oldest last message first.

  • empty

    No conversation from any node is an empty answer of the same kind.