Build a research swarm

async fn receive(
    State(state): State<Arc<ReceiverState>>,
    headers: HeaderMap,
    Json(batch): Json<PheromoneGossipBatch>,
) -> std::result::Result<Json<Value>, (StatusCode, String)> {
    if headers.get("authorization").and_then(|v| v.to_str().ok())
        != Some(&format!("Bearer {}", state.token))
    {
        return Err((
            StatusCode::UNAUTHORIZED,
            "Use the configured observer identity".into(),
        ));
    }
    let mut context = state.context.clone();
    context.now_unix_ms = now_ms();
    let config = PheromoneReceiverConfig {
        recipient_kernel_id: RECEIVER.into(),
        authenticated_sender_kernel_id: SENDER.into(),
        validation_context: context,
    };
    let report = state
        .store
        .receive_batch(&batch, &state.policy, &config, &NoWorkflowClaims)
        .map_err(|e| (StatusCode::BAD_REQUEST, e.to_string()))?;
    let value = json!(report);
    state
        .run
        .emit(
            "observation.received",
            "receiving-host",
            if report.accepted {
                "Admitted signed observations"
            } else {
                "Refused an observation batch"
            },
            value.clone(),
        )
        .map_err(|e| (StatusCode::INTERNAL_SERVER_ERROR, e.to_string()))?;
    Ok(Json(value))
}

    pub fn concentrations(
        &self,
        query_seconds: u64,
        weight: f64,
    ) -> Result<Vec<PheromoneConcentration>> {
        let mut context = self.state.context.clone();
        context.now_unix_ms = self.timestamp + query_seconds * 1000;
        let weights = StaticPeerWeightProvider::new(10, [(SENDER.into(), weight)]);
        CLASSES
            .iter()
            .map(|class| {
                self.state
                    .store
                    .query_concentration(
                        class,
                        NAMESPACE,
                        context.now_unix_ms,
                        10,
                        &context,
                        &weights,
                    )
                    .map_err(Into::into)
            })
            .collect()
    }

    pub fn claim(&self, job: &str, worker: &str) -> Result<bool> {
        let connection = self
            .0
            .lock()
            .map_err(|_| anyhow::anyhow!("Claim lock failed"))?;
        Ok(connection.execute(
            "INSERT OR IGNORE INTO claims(job,worker,state) VALUES(?1,?2,'claimed')",
            rusqlite::params![job, worker],
        )? == 1)
    }

    fn perform(&self, tool: &str, args: Value) -> Result<Value> {
        let source = self
            .sources
            .iter()
            .find(|s| s.id == args["source"])
            .context("Choose a source from the supplied corpus")?;
        let question = args["question"]
            .as_str()
            .context("Provide a research question")?;
        let result = match tool {
            "discover" => self.observe(question),
            "contradiction" => {
                // Surface competing numerical claims and retain the passages. The
                // reader or synthesis worker decides whether their contexts conflict.
                let mut claims = Vec::new();
                for s in &self.sources {
                    let mut start = 0;
                    for line in s.text.split_inclusive('\n') {
                        if line.chars().any(|c| c.is_ascii_digit())
                            && !words(question).is_disjoint(&words(line))
                        {
                            claims.push(citation(s, start, start + line.len()));
                        }
                        start += line.len();
                    }
                }
                json!({
                    "claims":claims,
                    "assessment":"Competing numerical statements require context review; no semantic contradiction is asserted by this extractor"
                })
            }
            "reproduce" => {
                let values = source
                    .text
                    .lines()
                    .find_map(|line| line.strip_prefix("samples:"))
                    .context("This source has no samples: line to reproduce")?;
                let values = values
                    .split(',')
                    .map(|s| s.trim().parse::<f64>())
                    .collect::<std::result::Result<Vec<_>, _>>()?;
                anyhow::ensure!(
                    !values.is_empty()
                        && values.len() <= 100
                        && values.iter().all(|v| v.is_finite()),
                    "Use 1 to 100 finite numeric samples"
                );
                let mean = values.iter().sum::<f64>() / values.len() as f64;
                json!({
                    "source":source.id,
                    "version_sha256":chio_core::sha256_hex(source.text.as_bytes()),
                    "values":values,
                    "mean":mean,
                    "sample_count":values.len(),
                    "calculation":"sum(samples) / count(samples)"
                })
            }
            _ => anyhow::bail!("Unknown research responsibility"),
        };
        self.effects.fetch_add(1, Ordering::SeqCst);
        Ok(result)
    }
}