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* Analytics Engine Query Functions
* Functions for querying Cloudflare Analytics Engine via SQL API
*/
import type { AnalyticsQueryResult, ProStats, ProjectStats } from "./types";
import { getDateRangeUTC } from "./date-helpers";
/**
* Execute a SQL query against Analytics Engine
* Uses the Cloudflare Analytics Engine SQL API
*/
export async function executeAnalyticsQuery(
accountId: string,
apiToken: string,
query: string,
): Promise<AnalyticsQueryResult> {
const endpoint = `https://api.cloudflare.com/client/v4/accounts/${accountId}/analytics_engine/sql`;
const response = await fetch(endpoint, {
method: "POST",
headers: {
Authorization: `Bearer ${apiToken}`,
"Content-Type": "text/plain",
},
body: query,
});
if (!response.ok) {
const errorText = await response.text();
throw new Error(
`Analytics Engine query failed: ${response.status} - ${errorText}`,
);
}
const result = (await response.json()) as AnalyticsQueryResult;
/* v8 ignore start -- defensive guard: API always returns data array */
if (!Array.isArray(result.data)) {
console.warn("[Analytics] Unexpected response shape, returning empty");
return { data: [], meta: [], rows: 0 };
}
/* v8 ignore stop */
return result;
}
/**
* Query Analytics Engine for pro stats
*
* Blob mapping (from track.ts):
* - blob1: event_type (page_view, click)
* - blob2: entity_type (pro, project, image)
* - blob3: entity_id
* - blob4: pro_id / pro_id (for rollups)
* - blob5: blog_id (for blog events)
* - blob6: action (whatsapp_form_submit, whatsapp_redirect, callback_form_submit, contact_cta_click)
* - blob7: session_id
* - blob8: referrer_source
* - blob9: referrer_medium
* - blob10: device_type
* - blob11: browser
* - blob12: os
* - blob13: country
* - blob14: city
* - blob15: page_url
*/
export async function queryProStats(
accountId: string,
apiToken: string,
dataset: string,
date: string,
): Promise<ProStats[]> {
const [startTime, endTime] = getDateRangeUTC(date);
// Query for pro aggregate stats
const statsQuery = `
SELECT
blob4 as pro_id,
countIf(blob1 = 'page_view' AND blob2 = 'pro') as page_views,
countIf(blob1 = 'click' AND blob2 = 'project') as project_clicks,
countIf(blob1 = 'click' AND blob2 = 'image') as image_clicks,
countIf(blob1 = 'click' AND blob6 IN ('whatsapp_form_submit', 'whatsapp_redirect')) as whatsapp_clicks,
countIf(blob1 = 'click' AND blob6 = 'callback_form_submit') as call_clicks,
countIf(blob1 = 'click' AND blob6 = 'contact_cta_click') as inquiry_clicks,
COUNT(DISTINCT blob7) as unique_sessions
FROM "${dataset}"
WHERE timestamp >= toDateTime('${startTime}')
AND timestamp < toDateTime('${endTime}')
AND blob4 != 'unknown'
GROUP BY blob4
`;
console.log(`[Analytics Sync] Querying pro stats for ${date}`);
const statsResult = await executeAnalyticsQuery(
accountId,
apiToken,
statsQuery,
);
// For each pro, get breakdowns
const proStats: ProStats[] = [];
for (const row of statsResult.data) {
const proId = row.pro_id as string;
// Query breakdowns in parallel
const [sourcesResult, devicesResult, citiesResult] = await Promise.all([
queryProBreakdown(
accountId,
apiToken,
dataset,
proId,
startTime,
endTime,
"blob8",
"source",
),
queryProBreakdown(
accountId,
apiToken,
dataset,
proId,
startTime,
endTime,
"blob10",
"device",
),
queryProBreakdown(
accountId,
apiToken,
dataset,
proId,
startTime,
endTime,
"blob14",
"city",
),
]);
proStats.push({
pro_id: proId,
page_views: Number(row.page_views) || 0,
project_clicks: Number(row.project_clicks) || 0,
image_clicks: Number(row.image_clicks) || 0,
whatsapp_clicks: Number(row.whatsapp_clicks) || 0,
call_clicks: Number(row.call_clicks) || 0,
inquiry_clicks: Number(row.inquiry_clicks) || 0,
unique_sessions: Number(row.unique_sessions) || 0,
sources: Object.fromEntries(
sourcesResult.data.map((r) => [r.value as string, Number(r.count)]),
),
devices: Object.fromEntries(
devicesResult.data.map((r) => [r.value as string, Number(r.count)]),
),
cities: Object.fromEntries(
citiesResult.data.map((r) => [r.value as string, Number(r.count)]),
),
});
}
return proStats;
}
/**
* Query breakdown stats for a specific pro
*/
async function queryProBreakdown(
accountId: string,
apiToken: string,
dataset: string,
proId: string,
startTime: string,
endTime: string,
blobField: string,
_alias: string,
): Promise<AnalyticsQueryResult> {
const query = `
SELECT ${blobField} as value, count() as count
FROM "${dataset}"
WHERE timestamp >= toDateTime('${startTime}')
AND timestamp < toDateTime('${endTime}')
AND blob4 = '${proId}'
GROUP BY ${blobField}
ORDER BY count DESC
LIMIT 10
`;
return executeAnalyticsQuery(accountId, apiToken, query);
}
/**
* Query Analytics Engine for project stats
*/
export async function queryProjectStats(
accountId: string,
apiToken: string,
dataset: string,
date: string,
): Promise<ProjectStats[]> {
const [startTime, endTime] = getDateRangeUTC(date);
const query = `
SELECT
blob3 as project_id,
blob4 as pro_id,
countIf(blob1 = 'page_view') as page_views,
countIf(blob1 = 'click' AND blob2 = 'image') as image_clicks,
COUNT(DISTINCT blob7) as unique_sessions
FROM "${dataset}"
WHERE timestamp >= toDateTime('${startTime}')
AND timestamp < toDateTime('${endTime}')
AND blob2 IN ('project', 'image')
AND blob3 != 'unknown'
GROUP BY blob3, blob4
`;
console.log(`[Analytics Sync] Querying project stats for ${date}`);
const result = await executeAnalyticsQuery(accountId, apiToken, query);
return result.data.map((row) => ({
project_id: row.project_id as string,
pro_id: row.pro_id as string,
page_views: Number(row.page_views) || 0,
image_clicks: Number(row.image_clicks) || 0,
unique_sessions: Number(row.unique_sessions) || 0,
}));
}
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