Playwright Trace Viewer is a GUI tool that helps you explore recorded Playwright traces after the script has ran. Traces are a great way for debugging your tests when they fail on CI. You can open traces locally or in your browser on trace.playwright.dev.
When tracing with the screenshots option turned on, each trace records a screencast and renders it as a film strip. You can hover over the film strip to see a magnified image of for each action and state which helps you easily find the action you want to inspect.
Traces should be run on continuous integration on the first retry of a failed test by setting the trace: 'on-first-retry' option in the test configuration file. This will produce a trace.zip file for each test that was retried.
You can open the saved trace using the Playwright CLI or in your browser on trace.playwright.dev. Make sure to add the full path to where your trace.zip file is located. This should include the full path to your trace.zip file.
Trace Viewer is the frontend for chrome://tracing and Android systrace. Providing rich analysis and visualization capabilities for trace files, supporting both the linux kernel trace format and Chrome's base/trace_event.
Note that to understand what's happening in trace events you'll need a basicunderstanding of how the browser works. The above articles provide enough to getstarted, but it's recommended to first read at minimum:
I have tried accessing to path -tracerviewer/releases( -applications/summarizing-tracer-tool-output-using-pega-tracerviewer). But it is showing as "This site Can't be reached". Can someone please upload the traceviewer file or give the latest path.
I have been trying to get an event viewer working based on SWV data trace. To start with, I decided to try to use the data trace viewer to plot a simple state variable that will bounce around values 1-4.
Fixing the clocking (SWO frequency to 1kHz), and doing a comparator to the "real_state" variable which is written infrequently generates a very nice graph, and much less load of the trace interface and IDE.
The CallTraceViewer application is intended to help with the diagnosis of issues with the Dialogic IMG Integrated Media Gateway and can be used to format, analyse and extract individual call traces from an IMG call trace. It incorporates both the "trace2pcap" tool which can be used to export SS7 raw data from an IMG trace to a pcap trace which can be opened in Wireshark, and an SS7 decoding module which can be used to show decoded SS7 messages from the call flow graph page.
Note that most views of the call trace have context-sensitive menus which are accessed with the right mouse button. For example, when a call is selected and the call flow graph is visible, the context menu looks like this (see the block highlighted in orange below):
In all cases, the call reference list will be populated with a list of calls found in the files. This may take a few seconds depending on how many calls are in the trace files. As implied, it is possible to use the first two options in the list to open multiple files simultaneously.
The call reference list contains a list of all calls detected in the log file. Selecting a call will cause that call's data (either the call flow graph or the text of the call trace depending on which tab is selected) to be displayed.
IMG call references are in the format xx:yyyyy:zz where xx is the node ID (ie. the number displayed on the front panel of the IMG or listed in ClientView), yyyyy is the call identifier and zz is the leg identifier (where 00 is the A-leg and 01 is the B-leg). The call reference list only lists the node ID and call identifier since the call flow graph and single call trace will display data for both call legs.
If the trace file contained sufficient debug information then each protocol message (for example, "INVITE" or "100 Trying") will be a clickable link which will load a pop-up window showing the decoded contents of the message. There is an example of this below for the "100 Trying" message:
The pop-up window can be closed by clicking the red X in the corner or by clicking on another protocol message. Note that this feature obviously requires that the raw message data be present in the trace file. This should always be the case for SIP but is not necessarily the case for SS7 / ISDN etc.
The single call trace tab is used to view the raw trace for an individual call. When a log file is loaded, the application attempts to remove any spurious line breaks so that the call trace is easier to read and parsing is easier.
This trace can be filtered to show just the A-leg trace, just the B-leg trace or a mixture of both (as above) using the radio buttons below the trace text box. When "All" is selected, lines of the trace are coloured orange for the B-leg and white for the A-leg. Note that it is possible for calls to have more than two legs. Additional call legs will be coloured differently and will spawn extra filtering buttons at the bottom of the screen.
Right-clicking the single call trace will bring up the context menu which will have options to Copy, Select All, Save and Export to Wireshark. Note that "Save" will save the text of the currently selected call to it's own file on disk. "Export to Wireshark" will call "trace2pcap.exe" using the text for the currently selected call and will generate a pcap file which can be opened in Wireshark. Only SS7 messages will be exported to the pcap file. There is no facility to export SIP messages to pcap format as this is not supported by the "trace2pcap.exe" tool.
The "all calls" trace tab looks similar to the single call trace tab except for the fact that it contains trace information for ALL calls in the open log file and doesn't allow filtering by leg. The find functionality and context-menu work in the same way as in section 7.
There are a number of options for locating text in the trace file. The ones of most interest would be the facility to mark and highlight lines containing matches. These are enabled with the "Mark Line" and "Highlight Matches" checkboxes. The "Mark Line" option will mark any lines containing the search string with a red circle. The "Highlight Matches" option will highlight the actual matched text with a light red background.
PeakTrace is a basecaller and improves your DNA sequences, but will not allow you to view the peaks in the .ab1 trace file. To visualize the trace you need a trace viewing program. There are many good trace viewers and most are free. Many come with additional features like manual editing, BLAST analysis, or the ability to view the raw data.
The main format expected to be converted to/from is the Common Trace Format (CTF). The default input format of the babeltrace command is CTF, and its default output format is a human-readable text log.
Trace Compass is a Java tool for viewing and analyzing any type of logs or traces. Its goal is to provide views, graphs, metrics, etc. to help extract useful information from traces, in a way that is more user-friendly and informative than huge text dumps.
The Trace Viewer allows you to "try out" different possible formats and interpretations of the SEG-Y data before the entire file is processed. Use the Trace Viewer to investigate individual traces within the SEG-Y file and learn about the data types used in the file.
You can view the trace-header values in standard and non-standard trace-header locations using any of the available data formats. Offsets (Byte#) are now listed from 1 to 239, as all the intermediate /odd offsets between the standard trace header locations are available.
The selection of the data type will affect the appearance of the trace below. An incorrect number of bytes in the selected format may cause subsequent traces to appear truncated, or not appear at all.
The preview helps to quickly validate the configuration selections, i.e., sample data format, byte order, number of samples. You may choose between the available trace formats and visually determine which one is the correct format. Furthermore, viewing several traces provides visual clues if anything is wrong: use the upper section selection tools (up/down arrow buttons and horizontal slider) to scroll through the traces in your SEG-Y file.
To see the entire trace, use the horizontal slider in the plot section. The Min and Max values will change as you scroll across and the trace range increases and decreases. Note that a "zeroed" part (usually the top of the trace) will show as a centred, straight line in the trace display.
The SEG-Y Standards (Rev. 0 & 1) are very specific about the appropriate locations for information and the data formats used to store them. However, the specifications are not rigidly followed, and files are written using many poorly-documented variations. For instance, the standard states that all trace headers should be written as 2- or 4-byte integer values, but some fields may be stored as floating point values. This wizard and the Trace Viewer are designed to follow the standard but also to allow flexibility in how a SEG-Y file is read should exceptions be encountered.
But interpreting the raw output of CQL traces can be daunting due to its verbosity and complexity. This is why visualizing these traces becomes incredibly beneficial. Visualization can simplify the interpretation of these details by providing a more intuitive and user-friendly representation. Visualizing the output allows developers and administrators to better understand the execution of queries and pinpoint performance issues more easily.
Furthermore, Dash is designed specifically for creating analytical web applications, making it an ideal choice for our visualization tool. Its interactive Plotly.js charts and graphs enable users to understand and interact with their data in a much more meaningful way than raw trace outputs can provide.
The first UI component we need to add is an input field that allows users to paste their CQL trace. Let's create a text area for this purpose. To make the start screen more appealing, we will store our example trace in a file called trace.txt and read it into the text area when the page is loaded initially.