def api_private_website_stats() -> Response:
"""TODO
---
responses:
'200':
description: TODO
"""
# uses_pg_index counters_day_cc_asn_input_idx a BRIN index was not used at
# all, but BTREE on (measurement_start_day, probe_cc, probe_asn, input)
# made queries go from full scan to 50ms
url = request.args.get("input")
probe_cc = validate_probe_cc_query_param()
probe_asn = validate_probe_asn_query_param()
s = """SELECT
toDate(measurement_start_time) AS test_day,
countIf(anomaly = 't') as anomaly_count,
countIf(confirmed = 't') as confirmed_count,
countIf(msm_failure = 't') as failure_count,
COUNT() AS total_count
FROM fastpath
WHERE measurement_start_time >= today() - interval '31 day'
AND measurement_start_time < today()
AND probe_cc = :probe_cc
AND probe_asn = :probe_asn
AND input = :input
GROUP BY test_day ORDER BY test_day
"""
d = {"probe_cc": probe_cc, "probe_asn": probe_asn, "input": url}
results = query_click(sql.text(s), d)
return cachedjson("0s", results=results)
def api_private_test_names():
"""TODO
---
responses:
'200':
description: TODO
"""
TEST_NAMES = {
"bridge_reachability": "Bridge Reachability",
"dash": "DASH",
"dns_consistency": "DNS Consistency",
"facebook_messenger": "Facebook Messenger",
"http_header_field_manipulation": "HTTP Header Field Manipulation",
"http_host": "HTTP Host",
"http_invalid_request_line": "HTTP Invalid Request Line",
"http_requests": "HTTP Requests",
"meek_fronted_requests_test": "Meek Fronted Requests",
"multi_protocol_traceroute": "Multi Protocol Traceroute",
"ndt": "NDT",
"psiphon": "Psiphon",
"tcp_connect": "TCP Connect",
"telegram": "Telegram",
"tor": "Tor",
"vanilla_tor": "Vanilla Tor",
"web_connectivity": "Web Connectivity",
"whatsapp": "WhatsApp",
"riseupvpn": "RiseUp VPN",
}
test_names = [{"id": k, "name": v} for k, v in TEST_NAMES.items()]
return cachedjson(1, test_names=test_names)
def check_report_id() -> Response:
"""Legacy. Used to check if a report_id existed in the fastpath table.
Used by https://github.com/ooni/probe/issues/1034
---
produces:
- application/json
parameters:
- name: report_id
in: query
type: string
responses:
200:
description: Always returns True.
schema:
type: object
properties:
v:
type: integer
description: version number of this response
found:
type: boolean
description: True
example: { "found": true, "v": 0 }
"""
return cachedjson("1s", v=0, found=True)
def api_private_global_by_month() -> Response:
"""Provide global summary of measurements
Sources: global_by_month db table
---
responses:
'200':
description: JSON struct TODO
"""
q = """SELECT
COUNT(DISTINCT probe_asn) AS networks_by_month,
COUNT(DISTINCT probe_cc) AS countries_by_month,
COUNT() AS measurements_by_month,
toStartOfMonth(measurement_start_time) AS month
FROM fastpath
WHERE measurement_start_time > toStartOfMonth(today() - interval 2 year)
AND measurement_start_time < toStartOfMonth(today() + interval 1 month)
GROUP BY month ORDER BY month
"""
rows = query_click(sql.text(q), {})
rows = list(rows)
n = [{"date": r["month"], "value": r["networks_by_month"]} for r in rows]
c = [{"date": r["month"], "value": r["countries_by_month"]} for r in rows]
m = [{"date": r["month"], "value": r["measurements_by_month"]} for r in rows]
expand_dates(n)
expand_dates(c)
expand_dates(m)
return cachedjson(
"1d", networks_by_month=n, countries_by_month=c, measurements_by_month=m
)
def api_private_website_network_tests() -> Response:
"""TODO
---
parameters:
- name: probe_cc
in: query
type: string
description: The two letter country code
responses:
'200':
description: TODO
"""
probe_cc = validate_probe_cc_query_param()
s = """SELECT
COUNT() AS count,
probe_asn
FROM fastpath
WHERE
measurement_start_time >= today() - interval '31 day'
AND measurement_start_time < today()
AND probe_cc = :probe_cc
GROUP BY probe_asn
ORDER BY count DESC
"""
results = query_click(sql.text(s), {"probe_cc": probe_cc})
return cachedjson("0s", results=results)
def api_private_country_overview() -> Response:
"""Country-specific overview
---
responses:
'200':
description: {
"first_bucket_date":"2012-12-01",
"measurement_count":6659891,
"network_count":333}
"""
# TODO: add circumvention_tools_blocked im_apps_blocked
# middlebox_detected_networks websites_confirmed_blocked
probe_cc = validate_probe_cc_query_param()
s = """SELECT
toDate(MIN(measurement_start_time)) AS first_bucket_date,
COUNT() AS measurement_count,
COUNT(DISTINCT probe_asn) AS network_count
FROM fastpath
WHERE probe_cc = :probe_cc
AND measurement_start_time > '2012-12-01'
"""
r = query_click_one_row(sql.text(s), {"probe_cc": probe_cc})
assert r
# FIXME: websites_confirmed_blocked
return cachedjson("1d", **r)
def api_private_country_overview():
"""Country-specific overview
---
responses:
'200':
description: {
"first_bucket_date":"2012-12-01",
"measurement_count":6659891,
"network_count":333}
"""
# TODO: add circumvention_tools_blocked im_apps_blocked
# middlebox_detected_networks websites_confirmed_blocked
probe_cc = validate_probe_cc_query_param()
# OLAP-use-case
s = sql.text("""SELECT
MIN(measurement_start_day) AS first_bucket_date,
SUM(measurement_count) AS measurement_count,
COUNT(DISTINCT probe_asn) AS network_count
FROM counters_asn_noinput
WHERE probe_cc = :probe_cc
""")
q = current_app.db_session.execute(s, {"probe_cc": probe_cc})
r = q.fetchone()
# NOTE: we are hardcoding a fixed first_bucket_date
# FIXME: websites_confirmed_blocked
return cachedjson(
24,
first_bucket_date=r.first_bucket_date,
measurement_count=r.measurement_count,
network_count=r.network_count,
)
def api_private_network_stats() -> Response:
"""Network speed statistics - not implemented
---
parameters:
- name: probe_cc
in: query
type: string
description: The two letter country code
responses:
'200':
description: TODO
"""
# TODO: implement the stats from NDT in fastpath and then here
probe_cc = validate_probe_cc_query_param()
return cachedjson(
"1d",
{
"metadata": {
"current_page": 1,
"limit": 10,
"next_url": None,
"offset": 0,
"total_count": 0,
},
"results": [],
},
)
def list_collectors() -> Response:
"""Probe Services: list collectors
---
responses:
'200':
description: List available collectors
"""
# TODO load from configuration file
j = [
{"address": "httpo://guegdifjy7bjpequ.onion", "type": "onion"},
{"address": "https://ams-pg.ooni.org:443", "type": "https"},
{
"address": "https://dkyhjv0wpi2dk.cloudfront.net",
"front": "dkyhjv0wpi2dk.cloudfront.net",
"type": "cloudfront",
},
{"address": "httpo://guegdifjy7bjpequ.onion", "type": "onion"},
{"address": "https://ams-pg.ooni.org:443", "type": "https"},
{
"address": "https://dkyhjv0wpi2dk.cloudfront.net",
"front": "dkyhjv0wpi2dk.cloudfront.net",
"type": "cloudfront",
},
]
return cachedjson("1h", j)
def api_private_circumvention_runtime_stats() -> Response:
"""Runtime statistics on protocols used for circumvention,
grouped by date, country, test_name.
---
responses:
200:
description: List of dicts with keys probe_cc and cnt
"""
q = """SELECT
toDate(measurement_start_time) AS date,
test_name,
probe_cc,
quantile(.5)(JSONExtractFloat(scores, 'extra', 'test_runtime')) AS p50,
quantile(.9)(JSONExtractFloat(scores, 'extra', 'test_runtime')) AS p90,
count() as cnt
FROM fastpath
WHERE test_name IN ['torsf', 'tor', 'stunreachability', 'psiphon','riseupvpn']
AND measurement_start_time > today() - interval 6 month
AND measurement_start_time < today() - interval 1 day
AND JSONHas(scores, 'extra', 'test_runtime')
GROUP BY date, probe_cc, test_name
"""
try:
r = query_click(sql.text(q), {})
result = pivot_circumvention_runtime_stats(r)
return cachedjson("1d", v=0, results=result)
except Exception as e:
return jsonify({"v": 0, "error": str(e)})
def check_report_id():
"""Check if a report_id exists either in the fastpath table
Used by https://github.com/ooni/probe/issues/1034
---
responses:
'200':
description: TODO
"""
report_id = request.args.get("report_id")
s = sql.text("SELECT 1 FROM fastpath WHERE report_id = :rid LIMIT 1")
try:
q = current_app.db_session.execute(s, dict(rid=report_id))
found = q.fetchone() is not None
return cachedjson(5 / 3600, v=0, found=found) # cache 5min
except Exception as e:
return cachedjson(0, v=0, error=str(e))
def close_report(report_id) -> Response:
"""Probe Services: Close report
---
responses:
'200':
description: Close a report
"""
return cachedjson("1h")
def api_private_vanilla_tor_stats() -> Response:
"""Tor statistics over ASN for a given CC
---
parameters:
- name: probe_cc
in: query
type: string
minLength: 2
required: true
responses:
'200':
description: TODO
"""
probe_cc = validate_probe_cc_query_param()
blocked = 0
nets = []
s = """SELECT
countIf(msm_failure = 't') as failure_count,
toDate(MAX(measurement_start_time)) AS last_tested,
probe_asn,
COUNT() as total_count,
total_count - countIf(anomaly = 't') AS success_count
FROM fastpath
WHERE measurement_start_time > today() - INTERVAL 6 MONTH
AND probe_cc = :probe_cc
GROUP BY probe_asn
"""
q = query_click(sql.text(s), {"probe_cc": probe_cc})
extras = {
"test_runtime_avg": None,
"test_runtime_max": None,
"test_runtime_min": None,
}
for n in q:
n.update(extras)
nets.append(n)
if n["total_count"] > 5:
if float(n["success_count"]) / float(n["total_count"]) < 0.6:
blocked += 1
if not nets:
return cachedjson("0s", networks=[], notok_networks=0, last_tested=None)
lt = max(n["last_tested"] for n in nets)
return cachedjson("0s", networks=nets, notok_networks=blocked, last_tested=lt)
def api_private_circumvention_stats_by_country() -> Response:
"""Aggregated statistics on protocols used for circumvention,
grouped by country.
---
responses:
200:
description: List of dicts with keys probe_cc and cnt
"""
q = """SELECT probe_cc, COUNT(*) as cnt
FROM fastpath
WHERE measurement_start_time > today() - interval 6 month
AND measurement_start_time < today() - interval 1 day
AND test_name IN ['torsf', 'tor', 'stunreachability', 'psiphon','riseupvpn']
GROUP BY probe_cc ORDER BY probe_cc
"""
try:
result = query_click(sql.text(q), {})
return cachedjson("1d", v=0, results=result)
except Exception as e:
return cachedjson("0d", v=0, error=str(e))
def api_private_im_networks():
"""TODO
---
responses:
'200':
description: TODO
"""
log = current_app.logger
probe_cc = validate_probe_cc_query_param()
test_names = [
sql.literal_column("test_name") == t for t in TEST_GROUPS["im"]
]
s = (
select([
sql.text("SUM(measurement_count) as msm_count"),
sql.text("MAX(measurement_start_day) AS last_tested"),
sql.text("probe_asn"),
sql.text("test_name"),
]).where(
and_(
sql.text(
"measurement_start_day >= current_date - interval '31 day'"
),
# We exclude the last day to wait for the pipeline
sql.text("measurement_start_day < current_date"),
sql.text("probe_cc = :probe_cc"),
or_(*test_names),
)).group_by(sql.text("test_name, probe_asn")).select_from(
sql.table("counters_asn_noinput")).order_by(
sql.text("test_name, msm_count DESC")))
results = {}
q = current_app.db_session.execute(s, {"probe_cc": probe_cc})
for r in q:
e = results.get(
r.test_name,
{
"anomaly_networks": [],
"ok_networks": [],
"last_tested": r.last_tested
},
)
e["ok_networks"].append({
"asn": r.probe_asn,
"name": "",
"total_count": r.msm_count,
"last_tested": r.last_tested,
})
if e["last_tested"] < r.last_tested:
e["last_tested"] = r.last_tested
results[r.test_name] = e
return cachedjson(1, **results) # TODO caching
def api_private_im_stats():
"""TODO
---
responses:
'200':
description: TODO
"""
test_name = request.args.get("test_name")
if not test_name or test_name not in TEST_GROUPS["im"]:
raise BadRequest("invalid test_name")
probe_cc = validate_probe_cc_query_param()
probe_asn = validate_probe_asn_query_param()
probe_asn = int(probe_asn.replace("AS", ""))
s = sql.text("""SELECT
SUM(measurement_count) as total_count,
measurement_start_day
FROM counters_asn_noinput
WHERE probe_cc = :probe_cc
AND test_name = :test_name
AND probe_asn = :probe_asn
AND measurement_start_day >= current_date - interval '31 day'
AND measurement_start_day < current_date
GROUP BY measurement_start_day
ORDER BY measurement_start_day
""")
query_params = {
"probe_cc": probe_cc,
"probe_asn": probe_asn,
"test_name": test_name,
}
q = current_app.db_session.execute(s, query_params)
tmp = {r.measurement_start_day: r for r in q}
results = []
days = [date.today() + timedelta(days=(d - 31)) for d in range(32)]
for d in days:
if d in tmp:
e = {
"test_day": isomid(tmp[d].measurement_start_day),
"total_count": tmp[d].total_count,
}
else:
e = {"test_day": isomid(d), "total_count": 0}
e["anomaly_count"] = None
results.append(e)
return cachedjson(1, results=results) # TODO caching
def api_private_countries_by_month():
"""Countries count by month
---
responses:
'200':
description: TODO
"""
# OLAP-use-case
cols = [sql.text("countries_by_month"), sql.text("month")]
q = select(cols).select_from(sql.table("global_by_month"))
q = current_app.db_session.execute(q)
li = [dict(date=r[1], value=r[0]) for r in q]
return cachedjson(24, li)
def api_private_asn_by_month():
"""Network count by month
---
responses:
'200':
description: [{"date":"2018-08-31","value":4411}, ... ]
"""
# OLAP-use-case
cols = [sql.text("networks_by_month"), sql.text("month")]
q = select(cols).select_from(sql.table("global_by_month"))
q = current_app.db_session.execute(q)
li = [dict(date=r[1], value=r[0]) for r in q]
return cachedjson(24, li)
def check_report_id():
"""Check if a report_id exists in the fastpath table
Used by https://github.com/ooni/probe/issues/1034
---
parameters:
- name: report_id
in: query
example: 20210208T162755Z_ndt_DZ_36947_n1_8swgXi7xNuRUyO9a
type: string
minLength: 10
required: true
responses:
200:
description: Check if a report_id exists in the fastpath table.
Cached for a short time.
schema:
type: object
properties:
v:
type: string
description: version number of this response
found:
type: bool
description: True if found
error:
type: string
description: error message
example: { "found": true, "v": 0 }
"""
report_id = request.args.get("report_id")
s = sql.text("SELECT 1 FROM fastpath WHERE report_id = :rid LIMIT 1")
try:
q = current_app.db_session.execute(s, dict(rid=report_id))
found = q.fetchone() is not None
return cachedjson(2 / 60, v=0, found=found) # cache for 2min
except Exception as e:
return cachedjson(0, v=0, error=str(e))
def api_private_im_stats() -> Response:
"""Instant messaging statistics
---
responses:
'200':
description: TODO
"""
test_name = request.args.get("test_name")
if not test_name or test_name not in TEST_GROUPS["im"]:
raise BadRequest("invalid test_name")
probe_cc = validate_probe_cc_query_param()
probe_asn = validate_probe_asn_query_param()
probe_asn = int(probe_asn.replace("AS", ""))
s = """SELECT
COUNT() as total_count,
toDate(measurement_start_time) AS test_day
FROM fastpath
WHERE probe_cc = :probe_cc
AND test_name = :test_name
AND probe_asn = :probe_asn
AND measurement_start_time >= today() - interval '31 day'
AND measurement_start_time < today()
GROUP BY test_day
ORDER BY test_day
"""
query_params = {
"probe_cc": probe_cc,
"probe_asn": probe_asn,
"test_name": test_name,
}
q = query_click(sql.text(s), query_params)
tmp = {r["test_day"]: r for r in q}
results = []
days = [date.today() + timedelta(days=(d - 31)) for d in range(32)]
for d in days:
if d in tmp:
test_day = isomid(tmp[d]["test_day"])
total_count = tmp[d]["total_count"]
else:
test_day = isomid(d)
total_count = 0
e = dict(anomaly_count=None, test_day=test_day, total_count=total_count)
results.append(e)
return cachedjson("1h", results=results) # TODO caching
def api_private_im_networks() -> Response:
"""Instant messaging networks statistics
---
responses:
'200':
description: TODO
"""
probe_cc = validate_probe_cc_query_param()
s = """SELECT
COUNT() AS total_count,
'' AS name,
toDate(MAX(measurement_start_time)) AS last_tested,
probe_asn,
test_name
FROM fastpath
WHERE measurement_start_time >= today() - interval 31 day
AND measurement_start_time < today()
AND probe_cc = :probe_cc
AND test_name IN :test_names
GROUP BY test_name, probe_asn
ORDER BY test_name ASC, total_count DESC
"""
results: Dict[str, Dict] = {}
test_names = sorted(TEST_GROUPS["im"])
q = query_click(sql.text(s), {"probe_cc": probe_cc, "test_names": test_names})
for r in q:
e = results.get(
r["test_name"],
{
"anomaly_networks": [],
"ok_networks": [],
"last_tested": r["last_tested"],
},
)
e["ok_networks"].append(
{
"asn": r["probe_asn"],
"name": "",
"total_count": r["total_count"],
"last_tested": r["last_tested"],
}
)
if e["last_tested"] < r["last_tested"]:
e["last_tested"] = r["last_tested"]
results[r["test_name"]] = e
return cachedjson("1h", **results) # TODO caching
def api_private_global_overview() -> Response:
"""Provide global summary of measurements
Sources: global_stats db table
---
responses:
'200':
description: JSON struct TODO
"""
q = """SELECT
COUNT(DISTINCT(probe_asn)) AS network_count,
COUNT(DISTINCT probe_cc) AS country_count,
COUNT(*) AS measurement_count
FROM fastpath
"""
r = query_click_one_row(q, {})
assert r
return cachedjson("1d", **r)
def api_private_asn_by_month() -> Response:
"""Network count by month
---
responses:
'200':
description: [{"date":"2018-08-31","value":4411}, ... ]
"""
q = """SELECT
COUNT(DISTINCT(probe_asn)) AS value,
toStartOfMonth(measurement_start_time) AS date
FROM fastpath
WHERE measurement_start_time < toStartOfMonth(addMonths(now(), 1))
AND measurement_start_time > toStartOfMonth(subtractMonths(now(), 24))
GROUP BY date ORDER BY date
"""
li = list(query_click(q, {}))
expand_dates(li)
return cachedjson("1d", li)
def api_private_test_coverage():
"""Return number of measurements per day across test categories
---
responses:
'200':
description: '{"network_coverage: [...], "test_coverage": [...]}'
"""
# TODO: merge the two queries into one?
# TODO: remove test categories or move aggregation to the front-end?
# OLAP-use-case
probe_cc = validate_probe_cc_query_param()
test_groups = request.args.get("test_groups")
if test_groups is not None:
test_groups = test_groups.split(",")
tc = get_recent_test_coverage(probe_cc)
nc = get_recent_network_coverage(probe_cc, test_groups)
return cachedjson(24, network_coverage=nc, test_coverage=tc)
def api_private_global_overview():
"""Provide global summary of measurements
Sources: global_stats db table
---
responses:
'200':
description: JSON struct TODO
"""
# OLAP-use-case
# CREATE MATERIALIZED VIEW global_stats AS
# SELECT
# COUNT(DISTINCT probe_asn) AS network_count,
# COUNT(DISTINCT probe_cc) AS country_count,
# SUM(measurement_count) AS measurement_count
# FROM counters;
q = select([sql.text("*")]).select_from(sql.table("global_stats"))
r = current_app.db_session.execute(q).fetchone()
return cachedjson(24, **dict(r))
def api_private_countries_by_month() -> Response:
"""Countries count by month
---
responses:
'200':
description: TODO
"""
q = """SELECT
COUNT(DISTINCT(probe_cc)) AS value,
toStartOfMonth(measurement_start_time) AS date
FROM fastpath
WHERE measurement_start_time < toStartOfMonth(addMonths(now(), 1))
AND measurement_start_time > toStartOfMonth(subtractMonths(now(), 24))
GROUP BY date ORDER BY date
"""
li = list(query_click(q, {}))
expand_dates(li)
return cachedjson("1d", li)
def api_private_website_stats():
"""TODO
---
responses:
'200':
description: TODO
"""
# uses_pg_index counters_day_cc_asn_input_idx a BRIN index was not used at
# all, but BTREE on (measurement_start_day, probe_cc, probe_asn, input)
# made queries go from full scan to 50ms
url = request.args.get("input")
probe_cc = validate_probe_cc_query_param()
probe_asn = validate_probe_asn_query_param()
# disable bitmapscan otherwise PG uses the BRIN indexes instead of BTREE
s = sql.text("""
SET enable_bitmapscan = off;
SELECT
measurement_start_day,
SUM(anomaly_count) as anomaly_count,
SUM(confirmed_count) as confirmed_count,
SUM(failure_count) as failure_count,
SUM(measurement_count) as measurement_count
FROM counters
WHERE measurement_start_day >= current_date - interval '31 day'
AND measurement_start_day < current_date
AND probe_cc = :probe_cc
AND probe_asn = :probe_asn
AND input = :input
GROUP BY measurement_start_day
""")
q = current_app.db_session.execute(s, {
"probe_cc": probe_cc,
"probe_asn": probe_asn,
"input": url
})
results = [{
"test_day": r.measurement_start_day,
"anomaly_count": int(r.anomaly_count or 0),
"confirmed_count": int(r.confirmed_count or 0),
"failure_count": int(r.failure_count or 0),
"total_count": int(r.measurement_count or 0),
} for r in q]
return cachedjson(1, results=results)
def api_private_countries():
"""Summary of countries
---
responses:
'200':
description: TODO
"""
cols = [sql.text("measurement_count"), sql.text("probe_cc")]
q = select(cols).select_from(sql.table("country_stats"))
c = []
for r in current_app.db_session.execute(q):
try:
name = lookup_country(r.probe_cc)
c.append(
dict(alpha_2=r.probe_cc, name=name, count=r.measurement_count))
except KeyError:
pass
return cachedjson(24, countries=c)
def api_private_vanilla_tor_stats():
"""Tor statistics over ASN for a given CC
---
responses:
'200':
description: TODO
"""
probe_cc = validate_probe_cc_query_param()
s = sql.text("""SELECT
SUM(failure_count) as failure_count,
MAX(measurement_start_day) AS last_tested,
probe_asn,
SUM(anomaly_count) as anomaly_count,
SUM(measurement_count) as total_count
FROM counters_asn_noinput
WHERE measurement_start_day > (current_date - interval '6 months')
AND probe_cc = :probe_cc
GROUP BY probe_asn
""")
q = current_app.db_session.execute(s, {"probe_cc": probe_cc})
nets = []
blocked = 0
for n in q:
total_count = n.total_count or 0
success_count = total_count - (n.anomaly_count or 0)
nets.append({
"failure_count": n.failure_count or 0,
"last_tested": n.last_tested,
"probe_asn": n.probe_asn,
"success_count": success_count,
"test_runtime_avg": None,
"test_runtime_max": None,
"test_runtime_min": None,
"total_count": total_count,
})
if total_count > 5 and float(success_count) / float(total_count) < 0.6:
blocked += 1
lt = max(n["last_tested"] for n in nets)
return cachedjson(0, networks=nets, notok_networks=blocked, last_tested=lt)
def api_private_website_network_tests():
"""TODO
---
responses:
'200':
description: TODO
"""
probe_cc = validate_probe_cc_query_param()
s = sql.text("""SELECT
SUM(measurement_count) AS count,
probe_asn
FROM counters_asn_noinput
WHERE
measurement_start_day >= current_date - interval '31 day'
AND measurement_start_day < current_date
AND probe_cc = :probe_cc
GROUP BY probe_asn
ORDER BY count DESC
""")
q = current_app.db_session.execute(s, {"probe_cc": probe_cc})
results = [dict(r) for r in q]
return cachedjson(1, results=results)