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CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB
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CDR-Stats : VoIP Analytics Solution for Asterisk and FreeSWITCH with MongoDB

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CDR-Stats is a free and open source call detail record analysis and reporting software for Freeswitch, Asterisk and other types of VoIP Switch. It allows you to interrogate CDR to provide reports and …

CDR-Stats is a free and open source call detail record analysis and reporting software for Freeswitch, Asterisk and other types of VoIP Switch. It allows you to interrogate CDR to provide reports and statistics via a simple to use powerful web interface.

It is based on the Django Python Framework, Celery, SocketIO, Gevent and MongoDB.

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  • 1. Call Data Analysisfor Asterisk & FreeSWITCH with MongoDB Arezqui Belaid @areskib <info@star2billing.com>
  • 2. Problems to solve - Millions of Call records - Multiple sources - Multiple data formats - Replication - Fast Analytics - Multi-Tenant - Realtime - Fraud detection
  • 3. Why MongoDB- NoSQL - Schema-Less- Capacity / Sharding- Upserts- Replication : Increase read capacity- Async writes : Millions of entries / acceptable losses- Compared to CouchDB - native drivers
  • 4. What does it look like? Dashboard
  • 5. Hourly / Daily / Monthly reporting
  • 6. Compare call traffic
  • 7. World Map
  • 8. Realtime
  • 9. Under the hood- FreeSWITCH (freeswitch.org)- Asterisk (asterisk.org)- Django (djangoproject.com)- Celery (celeryproject.org)- RabbitMQ (rabbitmq.com)- Socket.IO (socket.io)- MongoDB (mongo.org)- PyMongo (api.mongo.org)- and more...
  • 10. Our Data - Call Detail Record (CDR)1) Call info :2) BSON : CDR = { hangup_cause_q850:20, ... hangup_cause:NORMAL_CLEARING, callflow:{ sip_received_ip:192.168.1.21, caller_profile:{ sip_from_host:127.0.0.1, tts_voice:kal,7, username:1000, accountcode:1000, destination_number:5578193435, sip_user_agent:Blink 0.2.8 (Linux), ani:71737224, answerusec:0, caller_id_name:71737224, caller_id:71737224, ... call_uuid:adee0934-a51b-11e1-a18c- }, 00231470a30c, ... answer_stamp:2012-05-23 15:45:09.856463, }, outbound_caller_id_name:FreeSWITCH, variables:{ billsec:66, mduration:12960, progress_uepoch:0, effective_caller_id_name:Extension 1000, answermsec:0, sip_via_rport:60536, outbound_caller_id_number:0000000000, uduration:12959984, duration:3, sip_local_sdp_str:v=0no=FreeSWITCH end_stamp:2012-05-23 15:45:12.856527, 1327491731n answer_uepoch:1327521953952257, }, billmsec:12960, ... ...3) Insert Mongo : db.cdr.insert(CDR);
  • 11. Pre-Aggregate
  • 12. Pre-Aggregate - Daily CollectionProduce data easier to manipulate : current_y_m_d = datetime.strptime(str(start_uepoch)[:10], "%Y-%m-%d") CDR_DAILY.update({ date_y_m_d: current_y_m_d, destination_number: destination_number, hangup_cause_id: hangup_cause_id, accountcode: accountcode, switch_id: switch.id, },{ $inc: {calls: 1, duration: int(cdr[variables][duration]) } }, upsert=True)Output db.CDR_DAILY.find() :{ "_id" : ..., "date_y_m_d" : ISODate("2012-04-30T00:00:00Z"), "accountcode" : "1000", "calls" : 1, "destination_number": "0045277522", "duration" : 23, "hangup_cause_id" :9, "switch_id" :1 }... - Faster to query pre-aggregate data - Upsert is your friend / update if exists - insert if not
  • 13. Map-Reduce - Emit Step- MapReduce is a batch processing of data- Applying to previous pre-aggregate collection (Faster / Less data) map = mark_safe(u function(){ emit( { a_Year: this.date_y_m_d.getFullYear(), b_Month: this.date_y_m_d.getMonth() + 1, c_Day: this.date_y_m_d.getDate(), f_Switch: this.switch_id }, {calldate__count: 1, duration__sum: this.duration} ) })
  • 14. Map-Reduce - Reduce StepReduce Step is trivial, it simply sums up and counts : reduce = mark_safe(u function(key,vals) { var ret = { calldate__count : 0, duration__sum: 0, duration__avg: 0 }; for (var i=0; i < vals.length; i++){ ret.calldate__count += parseInt(vals[i].calldate__count); ret.duration__sum += parseInt(vals[i].duration__sum); } return ret; } )
  • 15. Map-ReduceQuery : out = aggregate_cdr_daily calls_in_day = daily_data.map_reduce(map, reduce, out, query=query_var)Output db.aggregate_cdr_daily.find() :{ "_id" : { "a_Year" : 2012, "b_Month" : 5, "c_Day" : 13, "f_Switch" :1 }, "value" : { "calldate__count" : 91,"duration__sum" : 5559, "duration__avg" : 0 } }{ "_id" : { "a_Year" : 2012, "b_Month" : 5, "c_Day" : 14, "f_Switch" :1 }, "value" : { "calldate__count" : 284,"duration__sum" : 13318, "duration__avg" : 0 } }...
  • 16. Roadmap- Quality monitoring- Audio recording- Add support for other telecoms switches- Improve - refactor (Beta)- Testing- Listen and Learn
  • 17. WAT else...?- Website : http://www.cdr-stats.org- Code : github.com/star2billing/cdr-stats- FOSS / Licensed MPLv2- Get started : Install script Try it, its easy!!!
  • 18. Questions ? Twitter : @areskibEmail : areski@gmail.com

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