chamonix-mobili — Source Data Validation Report

This report was generated by the Canonical GTFS Schedule validator, version 8.0.1 at 2026-08-01T23:44:16Z,
for the dataset file:///shared/chamonix-mobili_6fd3f102.zip. No country code was provided.

Use this report alongside our documentation.

Summary

Agencies included


Feed Info


Publisher Name:
N/A
Publisher URL:
N/A
Feed Email:
N/A
Feed Language:
N/A

Files included


  1. agency.txt
  2. calendar.txt
  3. calendar_dates.txt
  4. routes.txt
  5. shapes.txt
  6. stop_times.txt
  7. stops.txt
  8. trips.txt

Counts


  • Agencies: 0
  • Blocks: 139
  • Routes: 22
  • Shapes: 88
  • Stops: 514
  • Trips: 1692

Specification Compliance report

4162 notices reported (16 errors, 4141 warnings, 5 infos)

Notice Code Severity Total
equal_shape_distance_diff_coordinates ERROR 2

equal_shape_distance_diff_coordinates

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than the 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and different coordinates indicate an error.

You can see more about this notice here.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"050145" 23995 6.962 80001 23994 6.962 70048 2.0867140884864073
"050071" 20853 1.159 30001 20852 1.159 20048 2.0867140884864073
trip_distance_exceeds_shape_distance ERROR 14

trip_distance_exceeds_shape_distance

The distance between the last shape point and last stop point is greater than or equal to the 11.1m threshold.

You can see more about this notice here.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"3534495-CHAMX_2026-ETEVAC-Semaine-91" "050139" 4.605 4.604 20.8024351870313
"3534496-CHAMX_2026-ETEVAC-Semaine-91" "050139" 4.605 4.604 20.8024351870313
"3534497-CHAMX_2026-ETEVAC-Semaine-91" "050139" 4.605 4.604 20.8024351870313
"3534498-CHAMX_2026-ETEVAC-Semaine-91" "050139" 4.605 4.604 20.8024351870313
"3534499-CHAMX_2026-ETEVAC-Semaine-91" "050139" 4.605 4.604 20.8024351870313
"3534500-CHAMX_2026-ETEVAC-Semaine-91" "050139" 4.605 4.604 20.8024351870313
"3534501-CHAMX_2026-ETEVAC-Semaine-91" "050139" 4.605 4.604 20.8024351870313
"3534495-CHAMX_2026-ETEVAC-Week-end-91" "050139" 4.605 4.604 20.8024351870313
"3534496-CHAMX_2026-ETEVAC-Week-end-91" "050139" 4.605 4.604 20.8024351870313
"3534497-CHAMX_2026-ETEVAC-Week-end-91" "050139" 4.605 4.604 20.8024351870313
"3534498-CHAMX_2026-ETEVAC-Week-end-91" "050139" 4.605 4.604 20.8024351870313
"3534499-CHAMX_2026-ETEVAC-Week-end-91" "050139" 4.605 4.604 20.8024351870313
"3534500-CHAMX_2026-ETEVAC-Week-end-91" "050139" 4.605 4.604 20.8024351870313
"3534501-CHAMX_2026-ETEVAC-Week-end-91" "050139" 4.605 4.604 20.8024351870313
equal_shape_distance_diff_coordinates_distance_below_threshold WARNING 77

equal_shape_distance_diff_coordinates_distance_below_threshold

Two consecutive points have equal shape_dist_traveled and different lat/lon coordinates in shapes.txt and the distance between the two points is greater than 0 but less than 1.11m.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and small difference of coordinates (greater than 0 but less than 1.11 m distance) result in a warning.

You can see more about this notice here.

Only the first 50 of 77 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) The faulty record's `shape_dist_traveled` value. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) The previous shape point's `shape_dist_traveled` value. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`. actualDistanceBetweenShapePoints (?) Actual distance traveled along the shape from the first shape point to the previous shape point.
"130198" 32004 2.579 50003 32003 2.579 50002 0.3286697045816053
"130199" 32076 0.011 10004 32075 0.011 10003 0.1546437629758856
"130199" 32146 1.037 20003 32145 1.037 20002 0.3286697045816053
"130197" 31685 1.018 20003 31684 1.018 20002 0.3286697045816053
"030425" 19701 3.026 40050 19700 3.026 40049 0.5145681566297935
"020339" 3283 3.249 50044 3282 3.249 50043 0.07736889459573612
"020339" 3320 4.095 70015 3319 4.095 70014 0.07736889459573612
"020339" 3377 5.153 90002 3376 5.153 90001 0.5016948561708822
"110216" 31283 3.968 80002 31282 3.968 80001 0.3213266630008343
"130203" 32603 1.018 20003 32602 1.018 20002 0.3286697045816053
"B0193" 35725 3.916 40055 35724 3.916 40054 0.07737403800893476
"130200" 32465 2.579 50003 32464 2.579 50002 0.3286697045816053
"B0194" 35847 0.803 10063 35846 0.803 10062 0.07737403800893476
"050141" 22204 3.654 70002 22203 3.654 70001 0.3210843108504973
"050144" 23335 1.76 60002 23334 1.76 60001 0.3210843108504973
"050145" 23947 6.131 70001 23946 6.131 60018 0.11119510090982554
"050145" 23977 6.651 70031 23976 6.651 70030 0.40167876737890096
"050145" 23978 6.651 70032 23977 6.651 70031 0.1353647299231747
"050145" 23981 6.705 70035 23980 6.705 70034 0.36758193862627986
"050145" 23982 6.705 70036 23981 6.705 70035 0.3210784835424631
"050145" 23986 6.802 70040 23985 6.802 70039 0.07719785688853524
"050145" 23994 6.962 70048 23993 6.962 70047 0.4454788614771613
"A0149" 34246 0.011 10004 34245 0.011 10003 0.1546437629758856
"A0149" 34316 1.037 20003 34315 1.037 20002 0.3286697045816053
"050142" 22568 1.76 60002 22567 1.76 60001 0.3210843108504973
"050143" 23180 6.448 60030 23179 6.448 60029 0.6421690504891008
"060068" 24613 4.122 60115 24612 4.122 60114 0.15474888436924417
"060069" 25349 5.211 50003 25348 5.211 50002 0.15474888436924417
"N30018" 41423 7.044 50193 41422 7.044 50192 0.1353932239477435
"N30018" 41611 11.512 130002 41610 11.512 130001 0.3210843108504973
"A0151" 34635 2.579 50003 34634 2.579 50002 0.3286697045816053
"N30017" 40669 6.448 60030 40668 6.448 60029 0.6421690504891008
"050071" 20805 0.328 20001 20804 0.328 10018 0.11119510090982554
"050071" 20836 0.848 20032 20835 0.848 20031 0.1353647299231747
"050071" 20840 0.902 20036 20839 0.902 20035 0.3210784835424631
"050071" 20844 0.999 20040 20843 0.999 20039 0.07719785688853524
"C0147" 37175 5.413 110002 37174 5.413 110001 0.3213266630008343
"C0147" 37424 11.928 120191 37423 11.928 120190 0.4709017073596229
"050136" 20977 0.962 20030 20976 0.962 20029 0.6421690504891008
"050139" 21760 3.654 70002 21759 3.654 70001 0.3210843108504973
"030403" 17866 16.333 50050 17865 16.333 50049 0.5145681566297935
"N40010" 41900 0.011 10004 41899 0.011 10003 0.1546437629758856
"N40010" 41970 1.037 20003 41969 1.037 20002 0.3286697045816053
"N40010" 42283 6.497 80058 42282 6.497 80057 0.9062170266220562
"N40011" 43221 11.114 100003 43220 11.114 100002 0.3286697045816053
"090037" 30362 7.649 120043 30361 7.649 120042 0.5771168696385695
"V20015" 45205 5.3 120002 45204 5.3 120001 0.3213266630008343
"080069" 28343 5.47 100002 28342 5.47 100001 0.3214954384208766
"080069" 28465 8.241 140037 28464 8.241 140036 0.684893622682101
"080069" 28580 10.518 180002 28579 10.518 180001 1.003476552009559
equal_shape_distance_same_coordinates WARNING 962

equal_shape_distance_same_coordinates

Two consecutive points have equal shape_dist_traveled and the same lat/lon coordinates in shapes.txt.

When sorted by shape.shape_pt_sequence, the values for shape_dist_traveled must increase along a shape. Two consecutive points with equal values for shape_dist_traveled and the same coordinates indicate a duplicative shape point.

You can see more about this notice here.

Only the first 50 of 962 affected records are displayed below.

shapeId (?) The id of the faulty shape. csvRowNumber (?) The row number from `shapes.txt`. shapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the faulty record. shapePtSequence (?) The faulty record's `shapes.shape_pt_sequence`. prevCsvRowNumber (?) The row number from `shapes.txt` of the previous shape point. prevShapeDistTraveled (?) Actual distance traveled along the shape from the first shape point to the previous shape point. prevShapePtSequence (?) The previous record's `shapes.shape_pt_sequence`.
"130198" 31904 0.788 20001 31903 0.788 10047
"130198" 31931 1.178 30001 31930 1.178 20027
"130198" 31953 1.623 40001 31952 1.623 30022
"130198" 32002 2.578 50001 32001 2.578 40049
"130199" 32144 1.034 20001 32143 1.034 10071
"130199" 32196 1.996 30001 32195 1.996 20052
"130199" 32244 2.826 40001 32243 2.826 30048
"130199" 32272 3.21 50001 32271 3.21 40028
"130197" 31683 1.016 20001 31682 1.016 10067
"130197" 31735 1.978 30001 31734 1.978 20052
"130197" 31783 2.808 40001 31782 2.808 30048
"130197" 31811 3.192 50001 31810 3.192 40028
"030346" 10893 0.873 20001 10892 0.873 10062
"030346" 10929 1.496 30001 10928 1.496 20036
"030305" 10356 11.746 20001 10355 11.746 10362
"030304" 9745 11.746 20001 9744 11.746 10362
"030304" 9807 12.619 30001 9806 12.619 20062
"030304" 9843 13.242 40001 9842 13.242 30036
"030304" 9889 14.255 50001 9888 14.255 40046
"030304" 9908 14.798 60001 9907 14.798 50019
"030304" 9938 15.195 70001 9937 15.195 60030
"030304" 9986 16.146 80001 9985 16.146 70048
"030425" 19588 1.317 20001 19587 1.317 10064
"030425" 19619 1.548 30001 19618 1.548 20031
"030425" 19652 2.19 40001 19651 2.19 30033
"030425" 19702 3.026 50001 19701 3.026 40050
"030425" 19734 3.826 60001 19733 3.826 50032
"030425" 19753 4.369 70001 19752 4.369 60019
"030425" 20169 16.322 80001 20168 16.322 70416
"030425" 20221 17.441 90001 20220 17.441 80052
"030425" 20252 17.817 100001 20251 17.817 90031
"030425" 20308 18.509 110001 20307 18.509 100056
"100187" 30734 0.653 20001 30733 0.653 10060
"100187" 30784 1.246 30001 30783 1.246 20050
"100187" 30797 1.538 40001 30796 1.538 30013
"100187" 30824 2.232 50001 30823 2.232 40027
"100187" 30841 2.704 60001 30840 2.704 50017
"100187" 30874 3.399 70001 30873 3.399 60033
"100187" 30920 4.519 80001 30919 4.519 70046
"100187" 30946 5.325 90001 30945 5.325 80026
"100187" 30970 6.047 100001 30969 6.047 90024
"100187" 30985 6.367 110001 30984 6.367 100015
"100187" 30997 6.522 120001 30996 6.522 110012
"100187" 31008 6.664 130001 31007 6.664 120011
"100187" 31020 6.929 140001 31019 6.929 130012
"100187" 31036 7.305 150001 31035 7.305 140016
"100187" 31054 7.483 160001 31053 7.483 150018
"100187" 31068 7.928 170001 31067 7.928 160014
"100187" 31079 8.171 180001 31078 8.171 170011
"100187" 31104 8.823 190001 31103 8.823 180025
leading_or_trailing_whitespaces WARNING 1

leading_or_trailing_whitespaces

The value in CSV file has leading or trailing whitespaces.

This notice is emitted for values protected with double quotes since whitespaces for non-protected values are trimmed automatically by CSV parser.

The validator strips whitespaces from protected values. We do not see any use case when such a whitespace may be needed. On the other hand, some real-world feeds use trailing whitespaces for some values and omit them for the others. This is causing the largest problem when a primary key and a foreign key differ just by a whitespace: it is clear that they are intended to be the same, that is why we always strip whitespaces.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) Faulty record's field name. fieldValue (?) Faulty value.
"routes.txt" 9 "route_long_name" " Les Houches Le Guret / La Chapelle du Pont"
missing_recommended_field WARNING 23

missing_recommended_field

A recommended field is missing.

The given field has no value in some input row, even though values are recommended.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row of the faulty record. fieldName (?) The name of the missing field.
"agency.txt" 2 "agency_id"
"routes.txt" 2 "agency_id"
"routes.txt" 3 "agency_id"
"routes.txt" 4 "agency_id"
"routes.txt" 5 "agency_id"
"routes.txt" 6 "agency_id"
"routes.txt" 7 "agency_id"
"routes.txt" 8 "agency_id"
"routes.txt" 9 "agency_id"
"routes.txt" 10 "agency_id"
"routes.txt" 11 "agency_id"
"routes.txt" 12 "agency_id"
"routes.txt" 13 "agency_id"
"routes.txt" 14 "agency_id"
"routes.txt" 15 "agency_id"
"routes.txt" 16 "agency_id"
"routes.txt" 17 "agency_id"
"routes.txt" 18 "agency_id"
"routes.txt" 19 "agency_id"
"routes.txt" 20 "agency_id"
"routes.txt" 21 "agency_id"
"routes.txt" 22 "agency_id"
"routes.txt" 23 "agency_id"
missing_recommended_file WARNING 1

missing_recommended_file

A recommended file is missing.

You can see more about this notice here.

filename (?) The name of the faulty file.
"feed_info.txt"
mixed_case_recommended_field WARNING 1985

mixed_case_recommended_field

This field has customer-facing text and should use Mixed Case (should contain upper and lower case letters).

This field contains customer-facing text and should use Mixed Case (upper and lower case letters) to ensure good readability when displayed to riders. Avoid the use of abbreviations throughout the feed (e.g. St. for Street) unless a location is called by its abbreviated name (e.g. “JFK Airport”). Abbreviations may be problematic for accessibility by screen reader software and voice user interfaces.

Good examples:
Field Text Dataset
"Schwerin, Hauptbahnhof" Verkehrsverbund Berlin-Brandenburg
"Red Hook/Atlantic Basin" NYC Ferry
"Campo Grande Norte" Carris
Bad examples:
Field Text
"GALLERIA MALL"
"3427 GG 17"
"21 Clark Rd Est"

You can see more about this notice here.

Only the first 50 of 1985 affected records are displayed below.

filename (?) Name of the faulty file. fieldName (?) Name of the faulty field. fieldValue (?) Faulty value. csvRowNumber (?) The row number of the faulty record.
"stops.txt" "stop_name" "LAVANCHER VILLAGE" 2
"stops.txt" "stop_name" "LES HOUCHES - COUPEAU" 3
"stops.txt" "stop_name" "LES HOUCHES - COUPEAU" 4
"stops.txt" "stop_name" "GREPON CAISSE" 5
"stops.txt" "stop_name" "GREPON LE TREMPLIN" 6
"stops.txt" "stop_name" "ECOLE VALLORCINE" 8
"stops.txt" "stop_name" "ARGENTIERE - ECOLE" 9
"stops.txt" "stop_name" "ARGENTIERE - GARE SNCF" 10
"stops.txt" "stop_name" "ARGENTIERE - GARE SNCF" 11
"stops.txt" "stop_name" "AUBERGE DE JEUNESSE" 12
"stops.txt" "stop_name" "AIGUILLE DU MIDI" 13
"stops.txt" "stop_name" "ARGENTIERE - LA FIS" 14
"stops.txt" "stop_name" "ARGENTIERE - LA FIS" 15
"stops.txt" "stop_name" "LES BOSSONS SNCF" 20
"stops.txt" "stop_name" "LES BOSSONS SNCF" 21
"stops.txt" "stop_name" "CHAMONIX CENTRE" 23
"stops.txt" "stop_name" "CHAMONIX CENTRE" 24
"stops.txt" "stop_name" "LE TREMPLIN" 25
"stops.txt" "stop_name" "LE TREMPLIN" 26
"stops.txt" "stop_name" "COL DES MONTETS" 27
"stops.txt" "stop_name" "COL DES MONTETS" 28
"stops.txt" "stop_name" "CHAMONIX SUD" 29
"stops.txt" "stop_name" "CHAMONIX SUD" 30
"stops.txt" "stop_name" "CENTRE TECHNIQUE" 31
"stops.txt" "stop_name" "LES FAVRANDS" 37
"stops.txt" "stop_name" "LES FAVRANDS" 38
"stops.txt" "stop_name" "LES HOUCHES - LE FOUILLY" 40
"stops.txt" "stop_name" "LES HOUCHES - LE FOUILLY" 41
"stops.txt" "stop_name" "LES GAILLANDS" 42
"stops.txt" "stop_name" "LES GAILLANDS" 43
"stops.txt" "stop_name" "GLACIER DES BOSSONS" 44
"stops.txt" "stop_name" "GLACIER DES BOSSONS" 45
"stops.txt" "stop_name" "LE GREPON" 46
"stops.txt" "stop_name" "JEAN FRANCO" 47
"stops.txt" "stop_name" "LES ILES LES GRASSONNETS" 48
"stops.txt" "stop_name" "LES ILES LES GRASSONNETS" 49
"stops.txt" "stop_name" "GARE SNCF" 50
"stops.txt" "stop_name" "TORRENT DE TACONNAZ" 51
"stops.txt" "stop_name" "LES ILETTES" 53
"stops.txt" "stop_name" "LES ILETTES" 54
"stops.txt" "stop_name" "LES ILETTES" 55
"stops.txt" "stop_name" "JEANNE D ARC" 56
"stops.txt" "stop_name" "JEANNE D ARC" 57
"stops.txt" "stop_name" "LACS DES PRAZ" 58
"stops.txt" "stop_name" "LACS DES PRAZ" 59
"stops.txt" "stop_name" "LES CHOSALETS" 60
"stops.txt" "stop_name" "LA FRASSE" 61
"stops.txt" "stop_name" "LA FRASSE" 62
"stops.txt" "stop_name" "LE LAVANCHER" 63
"stops.txt" "stop_name" "LE LAVANCHER" 64
trip_distance_exceeds_shape_distance_below_threshold WARNING 1089

trip_distance_exceeds_shape_distance_below_threshold

The distance between the last shape point and last stop point is greater than 0 but less than the 11.1m threshold.

You can see more about this notice here.

Only the first 50 of 1089 affected records are displayed below.

tripId (?) The faulty record's trip id. shapeId (?) The faulty record's shape id. maxTripDistanceTraveled (?) The faulty record's trip max distance traveled. maxShapeDistanceTraveled (?) The faulty record's shape max distance traveled. geoDistanceToShape (?) The distance in meters between the shape and the stop.
"3532788-CHAMX_2026-ETESCO-L-Ma-J-V-86" "N10035" 19.11 19.109 3.1751099926437796
"3532789-CHAMX_2026-ETESCO-L-Ma-J-V-86" "N10035" 19.11 19.109 3.1751099926437796
"3532790-CHAMX_2026-ETESCO-L-Ma-J-V-86" "N10035" 19.11 19.109 3.1751099926437796
"3532791-CHAMX_2026-ETESCO-L-Ma-J-V-86" "N10035" 19.11 19.109 3.1751099926437796
"3532792-CHAMX_2026-ETESCO-L-Ma-J-V-86" "N10035" 19.11 19.109 3.1751099926437796
"3532810-CHAMX_2026-ETESCO-L-Ma-J-V-86" "210063" 13.495 13.494 7.635632983318868
"3532811-CHAMX_2026-ETESCO-L-Ma-J-V-86" "210063" 13.495 13.494 7.635632983318868
"3532812-CHAMX_2026-ETESCO-L-Ma-J-V-86" "210063" 13.495 13.494 7.635632983318868
"3532813-CHAMX_2026-ETESCO-L-Ma-J-V-86" "210063" 13.495 13.494 7.635632983318868
"3532814-CHAMX_2026-ETESCO-L-Ma-J-V-86" "210062" 14.206 14.205 4.530322167082991
"3532815-CHAMX_2026-ETESCO-L-Ma-J-V-86" "210062" 14.206 14.205 4.530322167082991
"3532816-CHAMX_2026-ETESCO-L-Ma-J-V-86" "210062" 14.206 14.205 4.530322167082991
"3532817-CHAMX_2026-ETESCO-L-Ma-J-V-86" "210062" 14.206 14.205 4.530322167082991
"3532844-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V10023" 8.735 8.734 4.530322167082991
"3532845-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V10023" 8.735 8.734 4.530322167082991
"3532846-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V10023" 8.735 8.734 4.530322167082991
"3532847-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V10023" 8.735 8.734 4.530322167082991
"3532859-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V20015" 12.683 12.682 4.712328313462619
"3532860-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V20015" 12.683 12.682 4.712328313462619
"3532861-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V20015" 12.683 12.682 4.712328313462619
"3532862-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V20015" 12.683 12.682 4.712328313462619
"3532863-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V20014" 12.855 12.854 4.530322167082991
"3532864-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V20014" 12.855 12.854 4.530322167082991
"3532865-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V20014" 12.855 12.854 4.530322167082991
"3532866-CHAMX_2026-ETESCO-L-Ma-J-V-86" "V20014" 12.855 12.854 4.530322167082991
"3532873-CHAMX_2026-ETESCO-L-Ma-J-V-86" "110216" 11.047 11.046 1.4617243939915672
"3532874-CHAMX_2026-ETESCO-L-Ma-J-V-86" "110216" 11.047 11.046 1.4617243939915672
"3532875-CHAMX_2026-ETESCO-L-Ma-J-V-86" "110216" 11.047 11.046 1.4617243939915672
"3532876-CHAMX_2026-ETESCO-L-Ma-J-V-86" "110216" 11.047 11.046 1.4617243939915672
"3532877-CHAMX_2026-ETESCO-L-Ma-J-V-86" "110216" 11.047 11.046 1.4617243939915672
"3532878-CHAMX_2026-ETESCO-L-Ma-J-V-86" "110216" 11.047 11.046 1.4617243939915672
"3532879-CHAMX_2026-ETESCO-L-Ma-J-V-86" "110216" 11.047 11.046 1.4617243939915672
"3532880-CHAMX_2026-ETESCO-L-Ma-J-V-86" "110216" 11.047 11.046 1.4617243939915672
"3532881-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532882-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532883-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532884-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532885-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532886-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532887-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532888-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532889-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532890-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532891-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532892-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532893-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532894-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532895-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532896-CHAMX_2026-ETESCO-L-Ma-J-V-86" "100187" 9.354 9.353 6.74997387767262
"3532947-CHAMX_2026-ETESCO-L-Ma-J-V-86" "060069" 9.791 9.79 6.619410528943642
unexpected_enum_value WARNING 3

unexpected_enum_value

An enum has an unexpected value.

You can see more about this notice here.

filename (?) The name of the faulty file. csvRowNumber (?) The row number of the faulty record. fieldName (?) The name of the field where the error occurred. fieldValue (?) Faulty value.
"routes.txt" 7 "route_type" 715
"routes.txt" 20 "route_type" 715
"routes.txt" 21 "route_type" 715
big_gap_in_service INFO 5

big_gap_in_service

A service has a gap of more than 13 days between active service dates.

You can see more about this notice here.

serviceId (?) The service_id that has the gap. gapStartDate (?) The first day of the gap. gapEndDate (?) The last day of the gap. gapDurationDays (?) The number of days in the gap.
"CHAMX_2026-ETESCO-L-Ma-J-V-86" "2026-07-03" "2026-08-31" 58
"CHAMX_2026-ETESCO-L-Ma-J-V-86-1101100" "2026-07-03" "2026-08-31" 58
"CHAMX_2026-ETESCO-Mercredi-86" "2026-07-01" "2026-09-02" 62
"CHAMX_2026-ETESCO-Mercredi-86-0010000" "2026-07-01" "2026-09-02" 62
"CHAMX_2026-ETESCO-Week-end-86" "2026-07-05" "2026-09-05" 61